Parsing documents with AI agents just got a lot more seamless🚀 We've rebuilt the LlamaParse MCP server to handle your document processing w…

Parsing documents with AI agents just got a lot more seamless🚀 We've rebuilt the LlamaParse MCP server to handle your document processing workflows, and you can connect it today to any MCP-compatible client at http://mcp.llamaindex.ai/mcp 🌐 Once connected, you'll be able to: 📁 Parse documents into clean markdown 🔍 Classify files against your own categories ✂️ Split long documents into labelled sections ⬆️ Upload files via URL or a browser-based upload flow Building a production MCP server surfaced some non-obvious challenges: getting auth to align with an existing platform identity system using @WorkOS, working around MCP's lack of built-in file upload support, and making deployments, rate limiting and observability feel native with @vercel and @AxiomFM. We wrote up all of it, from the OAuth flow, to the token-based upload design, to the tradeoffs we hit along the way📝 📚 Read the full blog: https://www.llamaindex.ai/blog/llamaparse-mcp-the-tooling-layer-for-your-document-agents?utm_medium=socials&utm_source=Twi&utm_campaign=2026-- 👩‍💻 GitHub repository: https://github.com/run-llam/mcp-llamaindex-ai Media

Source: Jerry Liu (X) | 2026-04-29