Darwin RAG MCP Server

Local-first RAG engine with MCP server for AI agent integration.

Local serverstdio

What is the Darwin RAG MCP Server?

Darwin RAG is an MCP integration. Local-first RAG engine with MCP server for AI agent integration.

Packages and local setup

The published pypi package is darwin-rag, version 0.2.18. Its declared MCP transport is stdio.

The package declares OPENAI_API_KEY: OpenAI API key for LLM answer generation; ANTHROPIC_API_KEY: Anthropic API key for LLM answer generation; GEMINI_API_KEY: Google Gemini API key; DARWIN_BASE_DIR: Override the base data directory.

This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository. This profile uses version 0.2.18 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related other integrations MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
OPENAI_API_KEYOpenAI API key for LLM answer generationOptional
ANTHROPIC_API_KEYAnthropic API key for LLM answer generationOptional
GEMINI_API_KEYGoogle Gemini API keyOptional
DARWIN_BASE_DIROverride the base data directoryOptional