beever-atlas — MCP Server by Beever-AI

by Beever-AI · MCP Server · ★ 245

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About beever-atlas

Your First LLM-Wiki Conversation Knowledge Base

adk-googleagentsdiscord-botfastapigeminigoogle-adkknowledge-baselarge-language-modelsllmmattermost

Quick Facts

Stars245
Forks30
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score35.75/100
Open Issues18
Last Updated2026-05-05
Created2026-04-21
Platformsgemini, mcp, python
Est. Tokens~5736k

Compatible Skills

These tools work well together with beever-atlas for enhanced workflows:

  • obsidian-wiki — semantic(0.41)+complementary+rare_topics+same_lang+shared_platform (59%)
  • intern-clawd — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (56%)
  • llm-wiki-agent — semantic(0.33)+complementary+rare_topics+same_lang+shared_platform (56%)

beever-atlas alternative? Top 6 similar tools

Looking for a beever-atlas alternative? If you're comparing beever-atlas with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • ctxvault by Filippo-Venturini · ⭐ 52

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Frequently Asked Questions

What is beever-atlas?

beever-atlas is Your First LLM-Wiki Conversation Knowledge Base. It is categorized as a MCP Server with 245 GitHub stars.

What programming language is beever-atlas written in?

beever-atlas is primarily written in Python. It covers topics such as adk-google, agents, discord-bot.

How do I install or use beever-atlas?

You can find installation instructions and usage details in the beever-atlas GitHub repository at github.com/Beever-AI/beever-atlas. The project has 245 stars and 30 forks, indicating an active community.

What license does beever-atlas use?

beever-atlas is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to beever-atlas?

The top alternatives to beever-atlas on Agent Skills Hub include llmwiki, llm-wiki, orchestkit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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