MCP PDF Extract
Related Servers
Alternatives to MCP PDF Extract
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceA Model Context Protocol server that enables AI agents to read, search, and extract content from PDF files.131,183 PyPI148MIT
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- AlicenseNot gradedqualityDmaintenanceA secure Model Context Protocol server that enables Claude AI to list, search, and read local documents in formats such as PDF, DOCX, and XLSX. It features read-only access with path traversal protection and supports deployment via Docker with SSE or STDIO transport options.MIT
- FlicenseAqualityDmaintenanceA Model Context Protocol server that enables AI assistants to read PDF files, extract text, retrieve metadata, read specific pages, and search within PDFs.45-
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TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one lists available PDFs, the other reads their contents. There is no overlap or ambiguity.
Both tools use snake_case and follow a verb_noun pattern (read_doc_contents, list_available_pdfs). The slight inconsistency between 'doc_contents' and 'pdfs' is minor, and overall naming is predictable.
With only 2 tools, the server is minimal. For a PDF extraction server, a few more tools (e.g., extract metadata, search text) would be expected, but the scope may be intentionally narrow.
The server lacks common operations like extracting specific pages, retrieving metadata, or searching within PDFs. The surface is incomplete for typical PDF extraction tasks.