Enterprise Internal Knowledge Base: Production-Ready RAG + MCP
by io.github.kimsb2429 · ai-ml · mcp-server, official-registry
Production-ready RAG + MCP demo: eval-in-CI merge gate, Langfuse traces, structure-aware chunking.
Source: https://github.com/kimsb2429/internal-knowledge-base
Install
git clone https://github.com/kimsb2429/internal-knowledge-baseTags: mcp-server, official-registry
Source: mcp-registry
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Enterprise Internal Knowledge Base: Production-Ready RAG + MCP is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install Enterprise Internal Knowledge Base: Production-Ready RAG + MCP?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Enterprise Internal Knowledge Base: Production-Ready RAG + MCP?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Enterprise Internal Knowledge Base: Production-Ready RAG + MCP free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.