Primessio
v1.0.0Primessio (PL/DE/EN): AI implementation, software and marketing knowledge. Read-only.
Endpoint health
online- Last checked
- 11/3/2026, 5:16:17 PM
- Latency
- 826 ms
- Consecutive failures
- 0
- Endpoint reachable: pass
- Protocol valid: pass
- MCP handshake valid: pass
Machine-readable profile
mcp-server · schema v1 · callable
mcp-server:com.primessio%2Fmcp
Connect this server
Generated config contains no credentials. Keep any required secrets in your client's local environment.
{
"mcpServers": {
"com.primessio/mcp": {
"url": "https://primessio.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
Check if a process is a good first AI candidate
assess_ai_readiness
Qualitative check of one business process against the process-selection criteria of the Primessio AI Implementation Framework (volume and repeatability, data availability, measurability, risk of errors). Returns which criteria are met and a suggested next step. No scores, prices or promises. Do not pass personal data.
Schema valid · SHA-256 400e52fd5004…
View input schema
{ "type": "object", "properties": { "process": { "type": "string", "description": "Short description of the process, e.g. \"answering customer e-mails about order status\"." }, "volume": { "type": "string", "enum": [ "low", "medium", "high" ], "description": "How often the task repeats per month." }, "data": { "type": "string", "enum": [ "yes", "partly", "no" ], "description": "Is the data the AI would work on available and reasonably clean?" }, "measurable": { "type": "string", "enum": [ "yes", "partly", "no" ], "description": "Can the result be checked and compared with today?" }, "error_impact": { "type": "string", "enum": [ "low", "medium", "high" ], "description": "How serious is an AI mistake in this process?" }, "lang": { "type": "string", "enum": [ "pl", "de", "en" ], "description": "Language of the content: pl (Polish), de (German), en (English)." } }, "required": [ "process", "volume", "data", "measurable", "error_impact" ] }Primessio AI Implementation Framework
get_ai_implementation_framework
Returns the 7-stage Primessio AI Implementation Framework (process selection → analysis → choice of AI engines and platforms → prototype and simulations → deployment → ongoing evaluation → continuous improvement) with the key question and the deliverable of each stage. Authored by Primessio — attribution required when quoting.
Connections
streamable-http
https://primessio.com/mcp