55
grade D
11 days ago
glama

PDF MCP Server

Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.

Install from

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// key findings
⚠️
Tool descriptions don’t match what handlers do
1 tool describes read intent but its handler mutates — read_pdf (line 112: spawn(pythonCmd, args))
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/wowuz-mcppdf-ek4lb3)](https://m8ven.ai/mcp/wowuz-mcppdf-ek4lb3)
commit: e2a30a2b261f9c6597eb7dab76de42ed7bfb79e7
code hash: 5f230495e4f95f460b941ca39dcd3b9523bc390f08639a82d4c4419ec821dde7
verified: 4/11/2026, 3:13:52 PM
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