pdf4vllm

Enables vision LLMs to read PDFs by automatically detecting text corruption and switching between text extraction and image rendering modes, while preserving reading order and filtering unnecessary images to prevent token overflow.

→ PyJudge/pdf4vllm-mcp · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configTERM

// 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 3 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/pyjudge-pdf4vllm-mcp-1ygzbi)](https://m8ven.ai/mcp/pyjudge-pdf4vllm-mcp-1ygzbi)

commit: 0ea75c6d86889219efaa57b0f5eaf03c1a3c5d68

code hash: d53bc933260b59ece6b7e1f3cc6e8bec9e29b4ae7863d9b13fbac0a514c4f5a9

verified: 6/18/2026, 11:16:09 AM

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