MCP Reasoning Engine

A production-ready reasoning engine that integrates Claude AI with specialized MCP tools for knowledge retrieval, schema validation, and domain-specific rubric evaluation. It enables structured RAG-based analysis across legal, health, and science domains via a RESTful API.

→ arslanmanzoorr/MCP · 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 2 credentials: ANTHROPIC_API_KEY, LOCAL_LLM_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.

🔐 secretANTHROPIC_API_KEY— $env: = "your_api_key_here"

configLOCAL_LLM_BASE_URL

configLOCAL_LLM_MODEL

🔐 secretLOCAL_LLM_API_KEY

configMCP_PORT— (optional): HTTP API port (default: 8000)

configMCP_HOST— (optional): HTTP API host (default: 0.0.0.0)

// 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/arslanmanzoorr-mcp-pd6enh)](https://m8ven.ai/mcp/arslanmanzoorr-mcp-pd6enh)

commit: c18ad0cded0bdf43d7ec50137a91e78d76758ebd

code hash: 5ee7d79d387f751ee968208e99a25a6d81f89ee37cf733de9a5e511c56defb7b

verified: 6/17/2026, 12:13:53 PM

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