Local-first RAG engine with MCP server for AI agent integration.
Darwin RAG is an MCP integration. Local-first RAG engine with MCP server for AI agent integration.
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.
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.
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.
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| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | OpenAI API key for LLM answer generation | Optional |
| ANTHROPIC_API_KEY | Anthropic API key for LLM answer generation | Optional |
| GEMINI_API_KEY | Google Gemini API key | Optional |
| DARWIN_BASE_DIR | Override the base data directory | Optional |
Official Redis server — search keys, inspect data structures and manage caches in natural language.
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Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local
Augments AI responses with relevant documentation context through vector search.
Augment AI responses with context by retrieving and processing documentation through vector search.
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.