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@llama_index

Parsing documents with AI agents just got a lot more seamless๐Ÿš€ 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 ๐ŸŒ Once connected, you'll be able to: ๐Ÿ“ Parse documents into clean markdown ๐Ÿ” Classify files against your own categories โœ‚๏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 way๐Ÿ“ ๐Ÿ“š Read the full blog: https://t.co/2E3qIVeUYI ๐Ÿ‘ฉโ€๐Ÿ’ป GitHub repository: https://t.co/ru1Evj7Zsr

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