pdf-reader-mcp
PyPI
v0.1.1
Published by zixma13 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
A powerful MCP server for comprehensive PDF processing with OCR and diagram detection
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 1 = 99. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
analyze_pdfno sensitive capabilityextract_pdf_pageno sensitive capabilityget_pdf_metadatano sensitive capabilitymarkdown_to_pdfno sensitive capabilityocr_pdfno sensitive capabilityocr_pdf_pageno sensitive capabilityread_pdfno sensitive capabilitysmart_extract_pdfno sensitive capabilitysmart_pdf_to_markdownno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.1 latest |
A 99/100 | 0 | 1.13.0 | 2026-08-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan pdf-reader-mcp --online --registry pypi
Independent packages implementing the same tool, scanned with the same engine. Compare all 9 side by side →
MCP server providing tools to read PDF files.
MCP server for efficient PDF text extraction, search, and metadata retrieval for Claude Code
MCP server for reading and analyzing PDF files from local paths or URLs - enables AI assistants to work with PDFs
A Model Context Protocol (MCP) server that enables AI assistants (Claude, GitHub Copilot) to read, extract text, search, and analyze PDF files with full metadata and image extraction support
An MCP server providing tools to read PDF files.
A PDF file reading server based on FastMCP. Supports PDF text extraction, OCR recognition, and image extraction via the MCP protocol, with a built-in web debugger for easy testing.
A Model Context Protocol server implementation for AdGuard Home that enables AI agents to query and manage DNS records, filtering rules and more
Identity oracle and trust layer for autonomous AI agents. Bidirectional KYA and trust scoring.
MCP server with Airtable integration
A free one-minute reset for people, delivered by AI, with no account or personal data.
Access SEC filings efficiently, save time and tokens, and get cited answers.
A smart [MCP](https://modelcontextprotocol.io) server for [AniList](https://anilist.co) that gets your anime/manga taste - not just API calls.