74
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20 days ago
glama

MCP PDF Server

Enables AI assistants to query PDF documents by ingesting them into a vector database and generating answers grounded in the actual documents.

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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.
🔐
You'll be asked for 1 credential: API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies1 low

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

lowuuid@13.0.0GHSA-w5hq-g745-h8pq

uuid: Missing buffer bounds check in v3/v5/v6 when buf is provided

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// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretAPI_KEYnvapi-your_key_here
configCOLLECTION_NAME"=documents",
configEMBED_BATCH_SIZEChunks per embedding batch 15
configEMBED_COOLOFF_MSCooldown between batches (ms) 500
configEMBED_MAX_RETRIESMax retries on API failure 3
configEMBED_MODEL"=nvidia/nv-embedqa-e5-v5",
configGEN_MODEL"=qwen/qwen2.5-coder-32b-instruct",
configQDRANT_URL"=http://mcp-qdrant:6333",
// 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 5 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/bhagyeshrashinkar-mcp-pdf-server-9xr4j3)](https://m8ven.ai/mcp/bhagyeshrashinkar-mcp-pdf-server-9xr4j3)
commit: ee68414432630df52966bb92ce6886e58a8ee8e6
code hash: 0cf996f4980972906429a8b8bd4c2e6644dd0cae0c24433a391bde55ec669f1a
verified: 6/23/2026, 10:38:53 AM
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