jztan/pdf-mcp
Production-ready MCP server for PDF processing with intelligent caching. Extract text, search, and analyze PDFs with AI agents.
Implements full-text search with BM25 relevance ranking via SQLite FTS5, and extracts tables as structured data (headers + rows) detected from visible borders. Designed for Claude Desktop, Claude Code, VS Code Copilot, and other MCP clients—includes 7 specialized tools for paginated reading, metadata lookup, image extraction, and cache management to optimize token usage on large documents.
7 stars and 1,820 monthly downloads. Available on PyPI.
Stars
7
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Monthly downloads
1,820
Commits (30d)
0
Dependencies
4
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