ContexteTech

{
  "mcpServers": {
    "io.github.contexte-tech/contexte": {
      "url": "https://contextetech.com/mcp"
    }
  }
}

Indexed tools

Tool metadata and schemas come from the remote server and are untrusted. Indexing only lists tools; it never calls them.

6 shown · authentication unknown

• Estimate the cost

  estimate_cost

  Estimate in euros what a ContexteTech resource costs to run with common AI models, from the week's list prices. Use it when the user asks about cost, budget or the cheapest model. For a prompt or context: input and output tokens, cost per call for each model and batch discount; for a dataset: cost of one pass over all rows and a fine-tuning estimate on rented GPUs (hours and offers); for a model: memory (VRAM) needed and GPU offers that fit. Returns available: false with a note when no estimate exists for that type.

  Schema valid · SHA-256 cef151d61956…

  View input schema

  {
    "type": "object",
    "properties": {
      "code": {
        "type": "string",
        "description": "Short code"
      }
    },
    "required": [
      "code"
    ]
  }

• Fetch (connector format)

  fetch

  Fetch the full content of a ContexteTech resource by the id returned by search.

  Schema valid · SHA-256 e236577e7112…

  View input schema

  {
    "type": "object",
    "properties": {
      "id": {
        "type": "string",
        "description": "Resource id or short code"
      }
    },
    "required": [
      "id"
    ]
  }

• Fill a prompt

  fill_prompt

  Fill a ContexteTech prompt template and return the ready-to-send text, nothing else. Use it when the user wants a prompt applied to their own case; call load_resource first if you need the template or the exact variable names. 'variables' maps each {{name}} of the template to its text value; extra keys are ignored. Fails with an error if the code is unknown, if the resource is not a prompt, or if a template variable is missing (the error lists the missing names).