mcpserver.so LogoMCPFly
Submit
inkeep-mcp-server-python logo

inkeep-mcp-server-python

by MCP-Mirror

AI/IntegrationInkeepRAGPythonDocumentation

Inkeep MCP Server powered by your docs and product content. It allows you to integrate Inkeep's RAG (Retrieval-Augmented Generation) capabilities into your applications.

View on GitHub

Last updated: N/A

What is inkeep-mcp-server-python?

The inkeep-mcp-server-python is a server that allows you to connect to Inkeep's RAG (Retrieval-Augmented Generation) service using the Model Context Protocol (MCP). It enables you to retrieve product documentation and integrate it into applications like Claude Desktop.

How to use inkeep-mcp-server-python?

  1. Clone the repository and navigate to the directory.
  2. Set up a virtual environment using uv.
  3. Install dependencies using uv pip install -r pyproject.toml.
  4. Obtain an API key from the Inkeep Dashboard.
  5. Configure your MCP client (e.g., Claude Desktop) to use the server, providing the server's path and API key in the claude_desktop_config.json file.

Key features of inkeep-mcp-server-python

  • Integration with Inkeep's RAG service

  • MCP (Model Context Protocol) support

  • Retrieval of product documentation

  • Easy setup with uv package manager

Use cases of inkeep-mcp-server-python

  • Integrating product documentation into AI assistants

  • Providing context to language models for better responses

  • Building knowledge bases powered by Inkeep

  • Enhancing customer support with relevant documentation

FAQ from inkeep-mcp-server-python

What is Inkeep?

Inkeep is a platform that provides RAG (Retrieval-Augmented Generation) capabilities, allowing you to leverage your documentation and product content.

What is MCP?

MCP stands for Model Context Protocol. It's a protocol that allows applications to provide context to language models.

How do I get an Inkeep API key?

Log in to the Inkeep Dashboard, navigate to the Projects section, select your project, open the Integrations tab, and create an API integration.

What is the purpose of the INKEEP_API_MODEL environment variable?

It specifies the model to use for the Inkeep API, in this case, 'inkeep-rag'.

What is the purpose of the INKEEP_MCP_TOOL_NAME and INKEEP_MCP_TOOL_DESCRIPTION environment variables?

They define the name and description of the tool that retrieves product documentation, which is used by the MCP client.