Agentset
RAG for your knowledge base. Connect your documents and data for retrieval-augmented AI agent interactions.
Agentset is an officially maintained MCP server developed by Agentset AI in the RAG & Knowledge category. RAG for your knowledge base. Connect your documents and data for retrieval-augmented AI agent interactions. Built with TypeScript and communicating over stdio transport, it integrates with AI assistants via the Model Context Protocol. The project has 26 GitHub stars.
Features
Category
Context7
Up-to-date code documentation for LLMs and AI code editors.
Cognee
Memory manager with graph/vector stores, 30+ data sources.
Mem0
Manages coding preferences/patterns for IDEs like Cursor.
Graphlit
Ingests from Slack/Discord/websites into knowledge graphs.
MCP Ragdocs
Vector search for documentation retrieval.
Ragie AI
Retrieves from RAG knowledge bases (e.g., Google Drive, Notion).