Skip to main content
Glama

mcp-run-python

Official
by pydantic
test_stop_settings[mistral].yaml1.38 kB
interactions: - request: headers: accept: - application/json accept-encoding: - gzip, deflate connection: - keep-alive content-length: - '232' content-type: - application/json host: - api.mistral.ai method: POST parsed_body: messages: - content: What is the capital of France? Give me an answer that contains the word "Paris", but is not the first word. role: user model: ministral-8b-latest n: 1 stop: - Paris stream: false top_p: 1.0 uri: https://api.mistral.ai/v1/chat/completions response: headers: access-control-allow-origin: - '*' alt-svc: - h3=":443"; ma=86400 connection: - keep-alive content-length: - '322' content-type: - application/json transfer-encoding: - chunked parsed_body: choices: - finish_reason: stop index: 0 message: content: 'The capital of France is ' role: assistant tool_calls: null created: 1749229172 id: 59bee455a928496eb22bbf8b8b817252 model: ministral-8b-latest object: chat.completion usage: completion_tokens: 6 prompt_tokens: 28 total_tokens: 34 status: code: 200 message: OK version: 1

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pydantic/pydantic-ai'

If you have feedback or need assistance with the MCP directory API, please join our Discord server