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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Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
uuid: Missing buffer bounds check in v3/v5/v6 when buf is provided
process.env. You'll be asked to provide them before it can run.API_KEY— nvapi-your_key_hereCOLLECTION_NAME— "=documents",EMBED_BATCH_SIZE— Chunks per embedding batch 15EMBED_COOLOFF_MS— Cooldown between batches (ms) 500EMBED_MAX_RETRIES— Max retries on API failure 3EMBED_MODEL— "=nvidia/nv-embedqa-e5-v5",GEN_MODEL— "=qwen/qwen2.5-coder-32b-instruct",QDRANT_URL— "=http://mcp-qdrant:6333",[](https://m8ven.ai/mcp/bhagyeshrashinkar-mcp-pdf-server-9xr4j3)