Cérebro
by ricardopiresqa · ai-ml · mcp-server, glama
A RAG engine and MCP server that indexes .md files to provide searchable context to AI agents via the Model Context Protocol.
Source: https://github.com/ricardopiresqa/cerebro
Install
git clone https://github.com/ricardopiresqa/cerebroUse this forAI-extracted
- →Build persistent memory systems for autonomous AI agents using RAG with ChromaDB vector storage
- →Integrate Obsidian vaults with MCP servers to enable knowledge base synchronization for Claude agents
- →Create long-term context retention for multi-turn conversations by storing and retrieving agent interactions
Works with
Tags: mcp-server, glama
Source: glama
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Cérebro is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install Cérebro?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Cérebro?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Cérebro free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.