beever-atlas
Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.
AI & MLpython
How to use
beever-atlas is an MCP server that lets your AI assistant call models, embeddings, or ML services as tools.
- Best for chaining an assistant into other AI services and pipelines.
- Works in any MCP-compatible client — Claude Desktop, Claude Code, Cursor, and others.
- Add it once to your client config; its tools then appear to the assistant automatically.
Install
Distributed as a Docker image. Prerequisite: Docker installed and running.
- 1Install the prerequisite above if you don't have it.
- 2Open your Claude Desktop config (create it if missing):
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
- 3Add this under
mcpServers(merge if the key already exists):{ "mcpServers": { "beever-atlas": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/beever-ai/beever-atlas:0.2.0"] } } } - 4Save the file and fully quit, then reopen Claude Desktop.
- 5Click the tools (🔌) icon — beever-atlas's tools should now be listed.
Capabilities
No capabilities documented for this server yet.
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