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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.

→ wowuz/mcpPdf· listed on glama
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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.
// known CVEs in dependencies2 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.0.1GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.0.1GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

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// 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 8 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: 6/12/2026, 10:52:22 AM
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