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glama

doc-intel MCP server

Enables AI agents to extract structured data from PDFs with confidence scores and provenance, and to search, review, and correct documents via MCP tools, resources, and prompts.

→ avinashbadgu/doc-intel-mcp-server· 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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configMCP_HOST— at the same DB the pipeline writes), / MCP_PORT for HTTP,
configMCP_PORT— at the same DB the pipeline writes), MCP_HOST / for HTTP,
configMCP_TRANSPORT— python -m mcp_server.server --http # or =http
// 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/avinashbadgu-doc-intel-mcp-server-fboing)](https://m8ven.ai/mcp/avinashbadgu-doc-intel-mcp-server-fboing)
commit: 05e58c0ff340875db8b1be20e942fbc728736061
code hash: a2c58571faba6977d0e23d2d574f41957fa8fb6c2bff75186ffa12280436868e
verified: 7/25/2026, 8:37:31 AM
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