PDF Extraction
This PDF extraction MCP server, developed by an unnamed author, provides tools for extracting content from PDF files. Built with Python 3.11+ and leveraging libraries like PyPDF2, pytesseract, and PyMuPDF, it offers both text extraction and OCR capabilities. The implementation focuses on flexibility, allowing extraction from specific page ranges and supporting various PDF formats. It's particularly useful for tasks like document analysis, text mining, or content indexing, enabling AI assistants or applications to access PDF content programmatically without dealing with the complexities of PDF parsing and OCR directly.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/xraywu/mcp-pdf-extraction-server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve PDF Extraction from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.