@llama_index
Parsing documents with AI agents just got a lot more seamless๐ 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 https://t.co/NF40qtKnQc ๐ Once connected, you'll be able to: ๐ Parse documents into clean markdown ๐ Classify files against your own categories โ๏ธ Split long documents into labelled sections โฌ๏ธ 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 way๐ ๐ Read the full blog: https://t.co/2E3qIVeUYI ๐ฉโ๐ป GitHub repository: https://t.co/ru1Evj7Zsr