Your First LLM-Wiki Conversation Knowledge Base
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Beever Atlas is an MCP server that your First LLM-Wiki Conversation Knowledge Base. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 63/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"beever-atlas": {
"url": "https://atlas.example.com/mcp",
"headers": {
"Authorization": "Bearer ${BEEVER_MCP_KEY}"
},
"transport": "streamable-http"
}
}
}Are you the author?
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Turn your team's Slack, Discord, Teams & Mattermost chats into a self-maintaining wiki — automatically.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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Beever Atlas pulls the conversations your team already has on Slack, Discord, Microsoft Teams, and Mattermost, extracts atomic facts, deduplicates them, and clusters them into topic pages with citations. A graph store links the people, decisions, and projects mentioned across channels. Ask questions in natural language and get answers cited back to the source messages — through the dashboard, or through MCP into Claude Code and Cursor.
If you want a knowledge base that grows on its own from the chats your team already has, this is it.
Six short clips — connect a workspace, sync history, watch memory build, browse the auto-generated wiki, ask questions, plug external AI agents in via MCP.
... View full README on GitHub
Multi-Platform![]() Connect Slack, Discord, Teams, Mattermost, or file imports. One bot, every workspace. |
Message Sync![]() Pull channel history on demand or on a schedule. Resumable and rate-limit aware. |
Memory Ingestion![]() 6-stage ADK pipeline distils messages into atomic facts, entities, and relationships. |