{"data":{"name":"io.github.Nutshell2000/agent-data-tools-ai","title":"Agent Data Tools: AI","description":"25 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.","version":"1.84.7","websiteUrl":"https://agent-data-tools.revmesh2074.workers.dev/","repositoryUrl":"https://github.com/Nutshell2000/agent-data-tools","remotes":[{"type":"streamable-http","url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai","headers":[{"description":"Optional. 'Bearer adt_...' API key from https://agent-data-tools.revmesh2074.workers.dev/credits to pay by card. Leave empty to pay each call with x402 (USDC).","isSecret":true,"name":"Authorization"}]}],"packages":[],"status":"active","isLatest":true,"publishedAt":"2026-10-31T18:16:29.395Z","updatedAt":"2026-10-31T18:16:29.395Z","source":"official-registry","verification":"official","confidence":100,"stars":null,"sources":[{"source":"official-registry","sourceId":"io.github.Nutshell2000/agent-data-tools-ai","verification":"official","confidence":100,"stars":null,"updatedAt":"2026-10-31T18:16:29.395Z","title":"Agent Data Tools: AI","description":"25 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.","websiteUrl":"https://agent-data-tools.revmesh2074.workers.dev/","repositoryUrl":"https://github.com/Nutshell2000/agent-data-tools"}],"toolIndex":{"tools":[{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_answer","title":"Web answer, AI with citations: answer a question from live search results","description":"Answer a question from the live web in one call: a Brave web search, the top result pages read, and an answer written by Llama 4 Scout from those sources only, with inline [n] citations and the source list (title, URL). Says so when the sources do not answer it. Results are for the caller's immediate use only: no storing, resale or model training (Brave API terms). Use when an agent needs a current, sourced answer rather than raw search results. Example: q=What is the x402 payment protocol?. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"q":{"type":"string","description":"The question, at most 400 characters"}},"required":["q"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Web answer, AI with citations: answer a question from live search results","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"56f95a1dba427966ba97916b44855b87856cb22f066fa8e914cf7b18017d1cbc","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_chat","title":"Chat completions (LLM): Llama 4 Scout","description":"Send a prompt, get an answer from Meta's Llama 4 Scout (17B active, 16 experts), with an optional system prompt, up to 1,024 output tokens and adjustable temperature. Fast and cheap. Use for drafting, reasoning steps, Q&A and any quick LLM call without an AI provider account; other open models by name at /v1/chat/completions, harder reasoning at ai_chat_large. Example: prompt=Explain x402 in one sentence.. Price $0.002/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-1024 (default 400)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"},"messages":{"type":"string","description":"Optional OpenAI messages array as JSON (system, user, assistant with tool_calls, tool); replaces prompt and system. Together with tools, at most 20,000 characters"},"tools":{"type":"string","description":"Optional OpenAI tools array as JSON (function calling, up to 32 functions); the answer then carries tool_calls"},"tool_choice":{"type":"string","description":"Optional: auto, none, required, or a JSON object naming one function"},"response_format":{"type":"string","description":"Optional OpenAI response_format as JSON: {\"type\":\"json_object\"} or a json_schema"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Chat completions (LLM): Llama 4 Scout","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"ca49d7c1409f305950fc735cb2fd7936088c65414d42aaaabf6cb4a324c8e1fa","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_chat_large","title":"LLM inference, large model: Llama 3.3 70B or gpt-oss-120b","description":"Send a prompt, get an answer from a larger open model: Llama 3.3 70B Instruct (default) or OpenAI gpt-oss-120b, with an optional system prompt, up to 1,024 output tokens and adjustable temperature. Same call as /ai/chat with a stronger model. Use when the 8B model is not enough: reasoning, drafting and Q&A. Example: prompt=Explain x402 in one sentence.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"model":{"type":"string","enum":["llama-3.3-70b","gpt-oss-120b"],"description":"llama-3.3-70b (default) or gpt-oss-120b"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-1024 (default 400)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"LLM inference, large model: Llama 3.3 70B or gpt-oss-120b","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"cae1f4e38ff94698452099b176589cf2ae0b7ebb832a9c0b777b2be1d8465f22","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_classify","title":"Text classification into labels: sort text into one of your labels (zero-shot), for routing and tagging","description":"Zero-shot classification: give text and 2-20 candidate labels, get the best label, a short reason and a ranking. Use for routing tickets, tagging content, intent detection and moderation queues. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to classify, up to 8,000 characters"},"labels":{"type":"string","description":"Comma-separated candidate labels (2-20)"}},"required":["text","labels"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Text classification into labels: sort text into one of your labels (zero-shot), for routing and tagging","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"4703fcca30c51cdf278bac52b478543f980464ae849d6fa4dc4a75379ccea6f6","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_embed","title":"OpenAI compatible embeddings: BGE-M3, 1,024 dimensions","description":"A 1,024-dimension embedding vector for up to 4,000 characters of text in 100+ languages, from BAAI's BGE-M3. Use for semantic search, RAG retrieval, clustering and deduplication. Example: text=pay-per-call APIs for AI agents. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to embed, up to 4,000 characters"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"OpenAI compatible embeddings: BGE-M3, 1,024 dimensions","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"e6a5faf0fe9c46961dbe492b80a28c0b5ca405ac911766fbec536d2fca9a3077","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_extract_json","title":"Extract JSON fields from text: turn unstructured text into a JSON object with the fields you name","description":"Pull named fields out of unstructured text (emails, invoices, listings, bios) and get them back as a JSON object, with null for anything not present. Use to turn messy text into structured data for an agent. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Source text, up to 12,000 characters"},"fields":{"type":"string","description":"Comma-separated field names to extract (1-30)"}},"required":["text","fields"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Extract JSON fields from text: turn unstructured text into a JSON object with the fields you name","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"b1e09e3d281015f506479c59f8334f053cd59208759caa4d8136986ad89c104d","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_fact_check","title":"Fact check, verify a claim: against live web sources","description":"Check a claim against the live web in one call: a Brave search, the top pages read, and a verdict from Llama 4 Scout using those sources only (supported, contradicted, mixed or unverified) with a short explanation, [n] citations and the sources. A model's reading of a few search results, not an editorial fact-check. Results are for immediate use only (Brave API terms). Use to screen a statement before an agent repeats or acts on it. Example: claim=The x402 protocol uses the HTTP 402 Payment Required status code.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"claim":{"type":"string","description":"The claim to check, at most 400 characters"}},"required":["claim"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Fact check, verify a claim: against live web sources","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"3f3638034d59828cbd2d996f8fee1ad5da51d6e28efed9d1b80614871dd044c6","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_keywords","title":"Keyword extraction: pull the main keywords and key phrases out of a text","description":"The most important keywords and key phrases of a text, most relevant first. Use for tagging, SEO, search indexing and topic detection. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text, up to 12,000 characters"},"count":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"How many, 3-30 (default 10)"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Keyword extraction: pull the main keywords and key phrases out of a text","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"e7e231a82d13bc3a0515d5ef4ee9105db6697cc75622d378744d296d55881c01","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_model_deepseek_r1","title":"DeepSeek R1 reasoning model API: pay per call, no API key","description":"Chat with DeepSeek's R1 reasoning model distilled into Qwen 32B (MIT) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 2,048 output tokens; its reasoning is removed from the answer. Also reachable as model \"deepseek-r1\" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-2048 (default 1500)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"DeepSeek R1 reasoning model API: pay per call, no API key","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"89071fde3d670663cdbb7344f1f278ee6ff2fbc93b767658896ba50efb842741","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_model_gpt_oss_120b","title":"GPT-OSS 120B chat API: pay per call, no API key","description":"Chat with OpenAI's open-weight gpt-oss-120b reasoning model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model \"gpt-oss-120b\" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-1024 (default 400)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"GPT-OSS 120B chat API: pay per call, no API key","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"a8d161defdac29fb3682ac4a22b530ddc6a785e420c930a29bebc64a72814f7a","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_model_gpt_oss_20b","title":"GPT-OSS 20B chat API: pay per call, no API key","description":"Chat with OpenAI's open-weight gpt-oss-20b reasoning model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model \"gpt-oss-20b\" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.002/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-1024 (default 400)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"GPT-OSS 20B chat API: pay per call, no API key","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"286752e25560c7a5471996991619de90eeb30c56ce38ad348477214a235c8ede","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_model_mistral_small","title":"Mistral Small 3.1 chat API: pay per call, no API key","description":"Chat with Mistral AI's Mistral Small 3.1 24B model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model \"mistral-small\" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.005/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-1024 (default 400)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Mistral Small 3.1 chat API: pay per call, no API key","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"66baa8f7a637eff8e9a68ea2e874bd632561299f3abc50d45524c1950f1c9258","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_model_qwen3_30b","title":"Qwen3 30B chat API: pay per call, no API key","description":"Chat with Alibaba's Qwen3 30B-A3B mixture-of-experts model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens; its reasoning is removed from the answer. Also reachable as model \"qwen3-30b\" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.002/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-1024 (default 400)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Qwen3 30B chat API: pay per call, no API key","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"586e4c9dae15cf6058d9c6202c0ffa1bd1ac16d100d240c9b0c800941c89f218","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_model_qwen_coder","title":"Qwen2.5 Coder 32B, code LLM API: pay per call, no API key","description":"Chat with Alibaba's Qwen2.5 Coder 32B code model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model \"qwen-coder\" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.005/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"User prompt, up to 8,000 characters"},"system":{"type":"string","description":"Optional system prompt, up to 2,000 characters"},"maxTokens":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Maximum output tokens, 1-1024 (default 400)"},"temperature":{"type":"number","description":"0-1.5 (default 0.6)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Qwen2.5 Coder 32B, code LLM API: pay per call, no API key","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"bfb91d675e43532048470b7c12a348402191ffc6f87799988f6fb9d45c4a85c6","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_moderation","title":"Content moderation, safety check: Llama Guard 3","description":"Classify a text as safe or unsafe with Meta's Llama Guard 3 and name the hazard categories it falls into (violent and non-violent crimes, sexual content, child exploitation, hate, self-harm, weapons, privacy, defamation, elections and others; 14 in all). Up to 8,000 characters. Also available in the OpenAI moderation shape at /v1/moderations. Use to screen user messages, model outputs or content before an agent posts or acts on it. Example: text=How do I bake sourdough bread at home?. Price $0.002/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"The text to classify (up to 8,000 characters)"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Content moderation, safety check: Llama Guard 3","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"64a1b453a093529690acd1a95f4213160a4c610cca90895ced636d8d243bb8bf","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_outline","title":"Outline a text or topic: make a structured Markdown outline of a text or topic","description":"A structured Markdown outline (headings and bullet points) of a text you send, or a suggested outline for a topic. Use to plan articles, reports, talks and documentation. Example: text=How small businesses can accept stablecoin payments. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to outline, or a topic, up to 12,000 characters"},"depth":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Heading levels, 1-3 (default 2)"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Outline a text or topic: make a structured Markdown outline of a text or topic","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"19f40ca356b743f7d78d7bbd28b1c563b89c5813ab20cc8f61e5dfd94d8bf9a8","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_rerank","title":"Rerank documents by relevance: reranker for RAG","description":"Order up to 50 documents by how well each answers a query, with a relevance score from 0 to 1 (BAAI bge-reranker-base, a cross-encoder). Send documents as a JSON array or one per line; each is read up to 2,000 characters, 40,000 in all. Returns the original index, score and text, best first; top_n keeps only the best. Also available in the Cohere-style shape at /v1/rerank. Use to pick what a model reads after search or vector retrieval. Price $0.002/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"query":{"type":"string","description":"What the documents should answer (up to 2,000 characters)"},"documents":{"type":"string","description":"Up to 50 documents: a JSON array of strings, or one per line"},"top_n":{"description":"Keep only the best N results (default all)","type":["string","number","boolean"]}},"required":["query","documents"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Rerank documents by relevance: reranker for RAG","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"c2eb94450ccd94a98b6a3d3eeb50e38a25430e13312fda2f9f05f392e5d7f1f8","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_rewrite","title":"Rewrite text in a style: rewrite text to be more formal, casual, simpler, shorter or more persuasive","description":"Rewrite text to be more formal, casual, simpler, shorter, friendlier, more professional or more persuasive, keeping the meaning and language. Use to polish emails, replies, product copy and messages. Example: text=hey, cant make it tmrw, can we move to thu?. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text, up to 8,000 characters"},"style":{"type":"string","enum":["formal","casual","simpler","shorter","friendly","professional","persuasive"],"description":"formal, casual, simpler, shorter, friendly, professional or persuasive (default professional)"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Rewrite text in a style: rewrite text to be more formal, casual, simpler, shorter or more persuasive","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"22f3f2f13f680aa089195499823edc324497db21a1e1d5aa3d349276d0e1c867","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_sentiment","title":"Sentiment analysis of text: tell whether a text is positive or negative, with a confidence score","description":"Positive or negative sentiment of English text with a confidence score, from a DistilBERT model fine-tuned on SST-2. Use to triage reviews, support messages, social posts and replies. Example: text=The checkout was fast and support answered within minutes.. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"English text, up to 4,000 characters"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Sentiment analysis of text: tell whether a text is positive or negative, with a confidence score","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"58d8f36ad1117afe82d8458f21952bb08068f78dc9ea64fac97a7b0a65e26976","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_speech","title":"Text to speech (TTS): turn text into an audio file","description":"Turn up to 1,000 characters of text into natural speech as an audio file (base64, with its content type), in English, Spanish, French, Chinese, Japanese or Korean, with MeloTTS. Use for voice replies, audio notes, accessibility and phone or chat bots. Example: text=Your payment was received. Thank you!. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to speak, up to 1,000 characters"},"lang":{"type":"string","enum":["en","es","fr","zh","ja","ko"],"description":"Language: en, es, fr, zh, ja or ko (default en)"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Text to speech (TTS): turn text into an audio file","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"c5ed7b0f55077fd1d0056be28a1b9e024f6d45edc27546bd9bda018428bd514a","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_summarize_text","title":"Summarize text: shorten long text into a few sentences and key points","description":"Summarize up to 12,000 characters of text you send into a few sentences plus bullet key points. Use for long emails, documents, transcripts and tool outputs (for a web page by URL, use /summarize). Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to summarize, up to 12,000 characters"},"sentences":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Summary length in sentences, 1-8 (default 3)"}},"required":["text"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Summarize text: shorten long text into a few sentences and key points","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"294d76749c7ec44ede5f639250e6ea402b8f1045e84af90ee9ee4ac845cbcd94","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"ai_translate","title":"Translate text, translation API: translate text into another language, about 100 languages","description":"Translate text into another language with OpenAI's open-weight gpt-oss-20b, detecting the source language. Long text is split at sentence ends and checked, so a cut-off translation is an uncharged 502, never a success. Give the target as an ISO code such as en, sv, de, fr, es, zh or ja; less common languages use Meta's M2M100. Use to localise messages and documents. Example: text=Payment received, thank you!, to=sv. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"text":{"type":"string","description":"Text, up to 4,000 characters"},"to":{"type":"string","description":"Target language code, e.g. sv"},"from":{"type":"string","description":"Source language code (default: detected)"}},"required":["text","to"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Translate text, translation API: translate text into another language, about 100 languages","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"880ba3adaffa0a4eb5e126ef9233a66739cf592f06eecd389aec65f94969a7da","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"describe","title":"Describe image, ask about it: ask what is in an image or photo at a URL and get a text description or answer","description":"Vision model for an image at a public URL: get a detailed description including any visible text, or pass a question to ask something specific about the image. Accepts PNG, JPEG, WebP and GIF up to 3 MB. Use for alt text, OCR-style reading of screenshots, chart reading and content checks. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"url":{"type":"string","description":"Absolute http(s) URL of a PNG, JPEG, WebP or GIF image (max 3 MB)"},"question":{"type":"string","description":"Optional question about the image (max 300 characters); default is a detailed description"}},"required":["url"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Describe image, ask about it: ask what is in an image or photo at a URL and get a text description or answer","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"8fc56f43dea0018f6a366b854444eb87ad04f1260f60e10e97531130cb26bedf","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"image","title":"Image generation, generate image from a text prompt: create a picture from a description with an AI image model","description":"Text-to-image generation with FLUX.1 schnell. Send a prompt, get a 1024x1024 JPEG back as base64 in a few seconds. Use for illustrations, thumbnails, mockups, avatars and social media images. Optional steps parameter (1-8, default 4) trades speed for detail. Example: prompt=a lighthouse on a cliff at sunset, watercolor. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"prompt":{"type":"string","description":"What the image should show (3-800 characters)"},"steps":{"type":"integer","minimum":-9007199254740991,"maximum":9007199254740991,"description":"Diffusion steps, 1-8 (default 4)"}},"required":["prompt"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Image generation, generate image from a text prompt: create a picture from a description with an AI image model","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"cfa14f5d651213a8e030798bddcea99fc4fc4189f5d081e1abd0e002fdc6069c","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"},{"serverName":"io.github.Nutshell2000/agent-data-tools-ai","endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","name":"transcribe","title":"Speech to text, transcribe audio: Whisper transcription of an audio file","description":"Transcribe speech from an audio file at a public URL using Whisper large-v3-turbo. Returns the transcript text, detected language, duration and word count. Accepts common formats such as MP3, WAV, M4A and OGG up to 5 MB. Use for voice notes, podcast clips, meeting snippets and voice messages. Example: url=https://commons.wikimedia.org/wiki/Special:FilePath/En-us-hello.ogg. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.","inputSchema":{"type":"object","properties":{"url":{"type":"string","description":"Absolute http(s) URL of an audio file (max 5 MB)"}},"required":["url"],"$schema":"http://json-schema.org/draft-07/schema#"},"annotations":{"title":"Speech to text, transcribe audio: Whisper transcription of an audio file","readOnlyHint":true,"destructiveHint":false,"idempotentHint":false,"openWorldHint":true},"definitionHash":"3cb34cd1823b9928199d8d3f5822dfc33a435c698570507553cf2439028f2577","schemaStatus":"valid","origin":"official-registry","observedAt":"2026-11-01T18:46:27.009Z","metadataTrust":"untrusted"}],"endpoints":[{"endpointFingerprint":"be6db22963c4da89e48377c1fb3f89938da5dd7e59dfe8a7e8bd18c66d493282","protocol":"streamable-http","status":"indexed","toolCount":25,"observedAt":"2026-11-01T18:46:27.009Z"}],"authentication":"unknown"},"connectionConfigurations":{"status":"ready","authentication":"not embedded","clients":{"Claude Desktop":{"mcpServers":{"io.github.Nutshell2000/agent-data-tools-ai":{"url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}}},"Cursor":{"mcpServers":{"io.github.Nutshell2000/agent-data-tools-ai":{"url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}}},"VS Code":{"servers":{"io.github.Nutshell2000/agent-data-tools-ai":{"type":"http","url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}}}}},"resourceType":"mcp-server","callable":true,"runtime":{"callable":true,"protocols":["mcp"]},"interfaces":[{"protocol":"mcp","transport":"streamable-http","url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}],"profile":{"apiVersion":"1","schemaVersion":"1","id":"mcp-server:io.github.Nutshell2000%2Fagent-data-tools-ai","resourceType":"mcp-server","canonicalUrl":"https://www.agentsjunction.com/api/v1/servers/io.github.Nutshell2000%2Fagent-data-tools-ai","name":"io.github.Nutshell2000/agent-data-tools-ai","description":"25 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.","interfaces":[{"protocol":"mcp","transport":"streamable-http","url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}],"capabilities":[],"identity":{"source":"official-registry","websiteUrl":"https://agent-data-tools.revmesh2074.workers.dev/","repositoryUrl":"https://github.com/Nutshell2000/agent-data-tools","version":"1.84.7"},"verification":{"state":"official","confidence":100},"operations":{"resourceType":"mcp-server","name":"io.github.Nutshell2000/agent-data-tools-ai","status":"online","lastCheckedAt":"2026-11-03T18:18:25.448Z","lastSuccessfulCheck":"2026-11-03T18:18:25.448Z","latencyMs":77,"consecutiveFailures":0,"isStale":false,"checks":{"endpointReachable":true,"protocolValid":true,"agentCardValid":null,"mcpHandshakeValid":true},"lastSeen":null,"lastSuccessfulInteraction":null,"lastHealthCheck":"2026-11-03T18:18:25.448Z","source":{"type":"health-check","url":null},"observedAt":"2026-11-03T18:18:25.448Z"},"security":null,"timestamps":{"createdAt":"2026-10-31T18:16:29.395Z","updatedAt":"2026-10-31T18:16:29.395Z","observedAt":"2026-11-03T18:18:25.448Z"},"compatibility":{"serverVersion":"1.84.7","protocolVersions":[{"protocol":"mcp","version":null}]}}}}