marl-book-mcp

Item: marl-book-mcp
Rating: 69
Author: M8ven

Provides an LLM with search, page retrieval, and chapter reading capabilities for the book 'Multi-Agent Reinforcement Learning: Foundations and Modern Approaches'.

→ BNJ02/marl-book-mcp · listed on glama

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// key findings

✅

4 tools verified — handlers match their declared behaviour

4 read-only tools verified — handlers contain no write/delete/exec

✅

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: MCP_CLIENT_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.

configMCP_ACCESS_PIN— openssl rand -hex 32, a , and the public MCP_BASE_URL). Then:

configMCP_CLIENT_ID

🔐 secretMCP_CLIENT_SECRET— Copy .env.example to .env and fill it in ( from

configMCP_BASE_URL— openssl rand -hex 32, a MCP_ACCESS_PIN, and the public ). Then:

// 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/bnj02-marl-book-mcp-n6rykq)](https://m8ven.ai/mcp/bnj02-marl-book-mcp-n6rykq)

commit: 7c77a1fac0dfb295ea561087e57212480f5f8230

code hash: 98ff2c1b5054d5dd9daa36750bcaeb3f87643ae06e803ea535b22c5cec4da1b8

verified: 7/30/2026, 8:48:25 AM

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