apcore-mcp

Automatically converts any apcore-based project into an MCP server and OpenAI tool provider with zero code changes.

→ aiperceivable/apcore-mcp-python · 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.

🔐

You'll be asked for 1 credential: APCORE_JWT_SECRET

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.

🔐 secretAPCORE_JWT_SECRET— JWT key resolution priority: --jwt-key-file > --jwt-secret > environment variable.

// 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/aiperceivable-apcore-mcp-python-5u42ug)](https://m8ven.ai/mcp/aiperceivable-apcore-mcp-python-5u42ug)

commit: e60a312ad7dc8d4f2fda422a011e3e0b06aa241e

code hash: 572f3f28995496a57e956da3a050cb34c2cbbf9481ca4eb86682bd509f974531

verified: 6/15/2026, 3:11:15 PM

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