consulting-mcp-server

Item: consulting-mcp-server
Rating: 69
Author: M8ven

Exposes RAG and document intelligence pipelines as 8 composable tools for MCP-compatible clients, enabling querying, indexing, classifying, extracting, and assessing documents.

→ Brinkv3/consulting-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.

✅

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: 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.

configRAG_PIPELINE_PATH— "": "/path/to/rag-pipeline",

configDOC_INTEL_PATH— "": "/path/to/doc-intelligence",

configAUDIT_PATH— "": "/path/to/agentic-audit",

configLLM_PROVIDER— LLM provider config (, LLM_MODEL, LLM_API_KEY) set in environment or .env

🔐 secretLLM_API_KEY— LLM provider config (LLM_PROVIDER, LLM_MODEL, ) set in environment or .env

// 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/brinkv3-consulting-mcp-server-1t7ti4)](https://m8ven.ai/mcp/brinkv3-consulting-mcp-server-1t7ti4)

commit: 46428c6cfc129268b3c16e979a14e26461c8f8f4

code hash: 785d6e09c029ee7a76cbc85b872c9d2d51be34579cacc05fdb9d0a53fda091c2

verified: 6/30/2026, 9:50:10 AM

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