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Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.
io.github.Beever-AI/beever-atlas is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.Beever-AI/beever-atlas to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm ghcr.io/beever-ai/beever-atlas:0.3.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-06-13T17:06:02.860374Z",
"publishedAt": "2026-06-13T17:06:02.860374Z",
"statusChangedAt": "2026-06-13T17:06:02.860374Z"
}
},
"server": {
"name": "io.github.Beever-AI/beever-atlas",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.3.0",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/beever-ai/beever-atlas:0.3.0",
"runtimeHint": "docker",
"registryType": "oci",
"packageArguments": [
{
"type": "positional",
"value": "python"
},
{
"type": "positional",
"value": "-m"
},
{
"type": "positional",
"value": "beever_atlas.api.mcp_server"
}
]
}
],
"repository": {
"url": "https://github.com/Beever-AI/beever-atlas",
"source": "github"
},
"description": "Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki."
}
}