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Index Markdown knowledge bases and serve searchable context to AI agents via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cérebro" yet — see the docs or source repo.
Index all .md files under docs/ and notes/, then expose them through MCP so an AI assistant can retrieve project background, API docs, and architecture decisions by topic.
A Markdown index and searchable context callable by AI agents for answering project-related questions.
Connect the team's .md files for engineering guidelines, FAQs, and design docs to Cérebro so the coding assistant prioritizes internal references when answering.
The AI assistant provides more accurate, consistent engineering guidance grounded in internal Markdown documents.
Use Cérebro to create a unified retrieval layer for Markdown knowledge base documents and share it with multiple AI tools through MCP.
A reusable MCP retrieval service that lets multiple AI tools share the same document context.
Give AI persistent memory, causal reasoning, learning, and predictive assistance.
Build software by chatting with AI agents, no terminal or coding required.
Intelligent RAG tool that chooses between private knowledge and web search.
Build and query vector knowledge bases for semantic search and RAG workflows.
Turn unstructured documents into a searchable knowledge base for AI agents.
Search, update, and safely grow a cited, auditable shared knowledge base.