PubMed Custom Connector MCP Server

Enables users to search and fetch PubMed biomedical literature articles through natural language queries in Microsoft 365 Copilot.

→ madsd/m365-custom-connector · 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.

🔐

You'll be asked for 1 credential: NCBI_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

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

configENTRA_TENANT_ID— when auth on Your Microsoft Entra tenant ID.

configENTRA_AUDIENCE— when auth on Accepted token audience = the Application ID URI from the Teams Developer Portal SSO registration. Comma-separated list allowed.

configENTRA_ALLOWED_CLIENT_IDS— no Allowed calling client app IDs. Defaults to the Microsoft enterprise token store ab3be6b7-f5df-413d-ac2d-abf1e3fd9c0b.

configAUTH_REQUIRED— $env: = "false"

🔐 secretNCBI_API_KEY— no NCBI API key for higher PubMed rate limits (10/sec vs 3/sec).

configNCBI_TOOL

configNCBI_EMAIL— $env: = "you@example.com" # recommended by NCBI

configPORT— no (default 8000) Listen port.

configMCP_PATH— no (default /mcp) Path of the MCP streamable-HTTP endpoint.

configALLOWED_HOSTS

configALLOWED_ORIGINS— no (default ) Origins allowed by the DNS-rebinding check.

// 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/madsd-m365-custom-connector-143hl8)](https://m8ven.ai/mcp/madsd-m365-custom-connector-143hl8)

commit: 1ce32724962d04480687f04e3dd4f8cd0bf421f3

code hash: c2defa7398d59d33fffa2e0006cb6410c00b2a61a5127e9a8edad529fa605a8d

verified: 6/17/2026, 11:24:07 AM

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