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MCP Server Python

@MCP-Mirror

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基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

MCP-Mirror

MCP Server Python について

Mirror of

#mcp-server#python#inkeep

MCP Server Python の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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MCP Server Python のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is mCP-server-python?

mcp-server-python is an Inkeep‑powered MCP server that lets you query your product documentation and content using a conversational search tool. It is intended for developers who manage documentation in Inkeep and want to surface that content through MCP‑compatible clients such as Claude Desktop.

How to use mCP-server-python?

Clone the repository, create a virtual environment with uv venv, install dependencies with uv pip install -r pyproject.toml, then obtain an API key from the Inkeep Dashboard. Finally, add the server configuration to your MCP client (e.g., claude_desktop_config.json) with the required environment variables (INKEEP_API_BASE_URL, INKEEP_API_KEY, INKEEP_API_MODEL, INKEEP_MCP_TOOL_NAME, INKEEP_MCP_TOOL_DESCRIPTION).

Key features of mCP-server-python

  • Connects to Inkeep’s RAG system for documentation retrieval
  • Runs locally via the uv Python project manager
  • Exposes a single MCP tool (search-product-content) for conversational queries
  • Configurable through environment variables for API key, model, and tool name
  • Depends on an active Inkeep account and API integration

Use cases of mCP-server-python

  • Provide instant answers from your product docs inside an MCP‑compatible assistant
  • Enable developers to search documentation without leaving their coding environment
  • Embed a RAG‑powered search tool into custom MCP‑enabled applications

よくある質問

1

What is Inkeep?

Inkeep is a platform that manages and provides RAG (retrieval‑augmented generation) over your documentation and product content. You need an account to obtain an API key.

2

How do I get an API key?

Log in to the Inkeep Dashboard, open your project’s **Integrations** tab, create a new API integration, and copy the generated API key.

3

What are the runtime dependencies?

You need an Inkeep account with a valid API key and the `uv` Python project manager installed on your system.

4

Where does the data live?

The queried documentation lives in Inkeep’s cloud system; the server itself runs locally and sends requests to the Inkeep API.

5

How does the server authenticate?

Authentication is done via an API key provided in the `INKEEP_API_KEY` environment variable. The server uses HTTP transport to the Inkeep API.

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