Doc MCP Server
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Alternatives to Doc MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables AI agents to inspect PDFs, merge or extract pages, and clean text entirely offline through the Model Context Protocol, with no uploads, API keys, or network calls.450 npmMIT
- AlicenseNot gradedqualityDmaintenanceConverts files (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube transcripts, Bing search, general pages) to Markdown via the Model Context Protocol.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to read and extract text content from PDF, Excel, and Word documents via the Model Context Protocol.2MIT

PDF.co MCP Serverofficial
AlicenseBqualityBmaintenanceProvides PDF.co API functionality through the Model Context Protocol, enabling AI assistants to perform various PDF processing tasks like conversion, editing, searching, and security operations.389MIT- AlicenseAqualityCmaintenanceEnables AI agents to process and inspect PDFs by detecting document type, extracting text, and generating Markdown with layout information.71MIT
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol server that converts documents (PDF, DOCX, HTML, etc.) to Markdown, enabling AI agents to ingest and understand document content.MIT
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: text conversion, word counting, PDF extraction, PDF generation (two variants), PDF merging, metadata reading, and URL-to-PDF conversion. No two tools have overlapping functionality.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., convert_text, extract_pdf_text, merge_pdfs). The naming is predictable and easy to understand.
With 8 tools covering text conversion, word counting, and various PDF operations (extraction, generation, merging, metadata, URL conversion), the count is well-scoped for a document processing server.
Missing some common operations like converting PDFs to other formats or editing PDF content, but the set is complete for core document tasks (create, read, merge, convert, and get metadata).