kb-agent-mcp is a Python package providing a zero-configuration Model Context Protocol (MCP) server. It transforms any folder of documents into a queryable multi-agent knowledge base using RAG techniques. Ideal for local AI agent workflows, it enables seamless integration with LLM-based agents without requiring complex setup or external services.
kb-agent-mcp is a RAG, search & retrieval project. Quickly turning collections of local documents into a queryable knowledge base for AI agents without complex configuration. It is built as an open-source project for developers. kb-agent-mcp is open source under the MIT license. It runs on the command line and API, and it can be self-hosted.
kb-agent-mcp first shipped in 2026. The project is developed in the open on GitHub with 66 commits in the last 90 days. Key capabilities include zero-config setup, document folder indexing, and multi-agent knowledge base. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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