What does the mcp-server-python do?
It serves as a bridge between your documentation (managed by Inkeep) and an MCP client, allowing AI assistants to retrieve relevant product content using the `search-product-content` tool.
@inkeep
基本情報
Inkeep MCP Server
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mcp-server-python is an MCP server that provides retrieval-augmented generation (RAG) over your documentation and product content using an Inkeep account. It's designed for developers who want to query their own product docs through the Model Context Protocol.
Clone the repository, set up a Python virtual environment with uv, and install dependencies. Obtain an API key from the Inkeep Dashboard, then add the server configuration to your claude_desktop_config.json file, specifying the absolute project path, API key, and base URL.
search-product-content.uv Python project manager.It serves as a bridge between your documentation (managed by Inkeep) and an MCP client, allowing AI assistants to retrieve relevant product content using the `search-product-content` tool.
You need an Inkeep account (to manage and serve your RAG), the `uv` Python project manager, and Python. An API key must be generated from the Inkeep Dashboard.
Add a JSON entry to `claude_desktop_config.json` under `mcpServers`, specifying the `uv` command, the project directory, and environment variables including `INKEEP_API_BASE_URL`, `INKEEP_API_KEY`, and `INKEEP_MCP_TOOL_NAME`.
Your documentation is stored and indexed by Inkeep; the server only sends queries and retrieves results via Inkeep’s API. No local document storage is used.
The server exposes a single tool named `search-product-content`. Queries should be framed as conversational questions about the product content.
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