grok-faf-mcp vs markdownify-mcp
grok-faf-mcp: grok-faf-mcp is the first MCP server built for Grok, providing URL-based AI context through the IANA-registered .faf format. It offers a zero-configuration solution that just works, enabling persistent project context for AI systems to reduce hallucinations and optimize performance.; markdownify-mcp: Markdownify is a Model Context Protocol (MCP) server designed to convert a wide range of file types, including PDFs, images, audio, and Office documents, along with web content, into Markdown format. It provides various tools to facilitate easy conversion and retrieval of structured text for AI models or other applications.
TL;DR
Grok integration testing and xAI project development.
- You want one simple server that turns PDF, Office files, images, audio and web pages into Markdown, including YouTube transcripts.
- You want to extend it yourself: the tools live in one file, `src/tools.ts`.
- You want to restrict file reads with `MD_SHARE_DIR`.
- You want a packaged install: you clone, build and point your client at a local path.
- You are on Windows: support is not confirmed and the maintainer asks for testers.
- Complex layouts matter: the README does not say which libraries do the conversions or how they handle them.
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