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17 days ago
glama

MOP

A multi-agent orchestrator MCP server that enables LLM agents to collaborate on complex tasks by automating role assignment, inter-agent communication, and artifact integration. It provides tools for task decomposition, agent assignment, status tracking, code review, and result merging.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configMOP_HOST
configMOP_PORT9000 python src/http_entry.py
configMOP_PATH
// 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/sirasaki-konoha-mop-2zj8c3)](https://m8ven.ai/mcp/sirasaki-konoha-mop-2zj8c3)
commit: a39efdceac21c0ec6d121637d49917a14284208e
code hash: 27e58b3453871ae0957d602bf7f7d400ae3b9dd8a0b7fcf99f6043a2ed9334b8
verified: 7/14/2026, 8:25:27 AM
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