Agentic Doc Search RAG MCP Server

Example Use Cases

• 1

  Query enterprise security and compliance policy documents accurately without hallucinations.

• 2

  A transparent, self-corrective RAG system with real-time execution traceability.

• 3

  Integrate policy knowledge bases as callable tools via the MCP standard.

Description

This MCP server wraps a production-grade, agentic Retrieval-Augmented Generation (RAG) system that reasons before answering to prevent hallucinations. It enables AI agents to query a curated knowledge base of GitLab security and technology policies with full transparency, graceful out-of-scope rejection, and citation-backed answers. The server supports fast, reliable LLM inference and integrates seamlessly with any MCP-compatible AI client, enhancing compliance and security workflows.