MCP.Market

Beever Atlas MCP server

by Beever-AI·io.github.Beever-AI/beever-atlas·v0.3.0·448 stars

Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

448 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Beever Atlas tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 16 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Beever Atlas compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 73% of 4,460 AI and agents servers
GitHub stars
448
more than 95% of 2,711 AI and agents servers

Install Beever Atlas in Claude Code, Cursor or VS Code

claude mcp add beever-atlas -- docker run -i --rm ghcr.io/beever-ai/beever-atlas:0.3.0
Add to Cursor

What the publisher says

From the Beever Atlas repository's README, as published. We do not edit it. Read it on GitHub

 Beever Atlas

Turn your team's Slack, Discord, Teams & Mattermost chats into a self-maintaining wiki — automatically.

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.

✨ Features in action

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.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Beever Atlas: common questions

Is Beever Atlas MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Beever Atlas safety report
How do I install Beever Atlas?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Beever Atlas need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Beever Atlas maintained?
The last commit was 54 days ago (2026-09-10). The latest release is v0.3.0.
What can I use instead of Beever Atlas?
Servers from other publishers that do the same job: IWE (iwe.md) MCP server, Total Agent Memory MCP server and LLM Sandbox MCP server.
How does Beever Atlas compare with other AI and agents MCP servers?
safety score 85/100 (higher than 73% of 4,460 AI and agents servers); github stars 448 (more than 95% of 2,711 AI and agents servers). Full comparison.

Alternatives to Beever Atlas

Same job from other publishers: the closest match first, then the best rated.

  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A
  • LLM Sandbox
    Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.
    A
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • Agent-Native Chat
    Minimal chat-first app with durable threads, actions, and the app-agent loop
    A