Enterprise Internal Knowledge Base: Production Ready RAG + MCP
Wire a production-style RAG knowledge base into Claude Code or Cursor so agents query your internal docs with traced, eval-gated retrieval.
Overview
internal-knowledge-base is an MCP server for the Build phase that exposes a production-style RAG stack—with CI eval gates, Langfuse traces, and structure-aware chunking—for agent queries over your internal documents.
What is this MCP server?
- RAG pipeline exposed as an MCP server for agent-side document Q&A
- Eval-in-CI merge gate to block regressions on retrieval quality
- Langfuse tracing for observability on RAG calls
- Structure-aware chunking for cleaner citations and context windows
- Demo-oriented reference stack for internal knowledge bases
- Server schema version 0.1.0 in server metadata
- Demonstrates eval-in-CI merge gate, Langfuse traces, and structure-aware chunking as named capabilities
What problem does it solve?
Agents hallucinate or miss policy details because your wiki and repo docs are not wired into a tested, traceable retrieval layer.
Who is it for?
Indie builders shipping AI assistants or internal copilots who want a serious RAG+MCP starter with eval-in-CI and observability baked in.
Skip if: Teams that only need a one-off web search or a fully managed hosted vector DB with no self-hosted ops.
What do I get? / Deliverables
After you register the server and index your corpus, agents can answer from chunked internal knowledge with eval-guarded quality and traceable RAG calls.
- MCP-accessible RAG tools over your internal knowledge index
- CI eval gate configuration for retrieval regressions
- Langfuse-instrumented traces for agent retrieval sessions
Recommended MCP Servers
Journey fit
Canonical on Build because it is an agent integration pattern you implement while shipping agent features, even though RAG also supports operate and ship gates. agent-tooling fits MCP servers that expose retrieval and knowledge tools to coding agents.
How it compares
Self-hosted RAG reference MCP, not a single prompt skill or a generic web search plugin.
Common Questions / FAQ
Who is internal-knowledge-base for?
Solo builders and small teams adding document-grounded answers to coding agents via MCP, with room to grow into production eval and tracing practices.
When should I use internal-knowledge-base?
Use it when you are building agent-tooling and need structure-aware chunking, Langfuse traces, and CI eval gates before relying on RAG in production workflows.
How do I add internal-knowledge-base to my agent?
Clone or run the GitHub project, configure your embedding and index pipeline, then register the MCP server in Claude Code, Cursor, or another MCP client using the repo’s server entrypoint and environment variables.