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10 days ago
glama

agent-mesh MCP Server

Enables coordinating specialist agents through an event-driven backend, allowing submission of goals, retrieval of job status and results, and listing of jobs via MCP tools.

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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 3 credentials: XAI_API_KEY, GROK_API_KEY, OPENAI_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.
🔐 secretXAI_API_KEY, falling back to GROK_API_KEY. GrokProvider.DEFAULT_MODEL is
🔐 secretGROK_API_KEYXAI_API_KEY, falling back to . GrokProvider.DEFAULT_MODEL is
configXAI_MODELgrok-4.5, overridable with or a model= argument.
🔐 secretOPENAI_API_KEYOpenAIProvider uses the official OpenAI SDK and reads when an
configOPENAI_MODELgpt-4o-mini, overridable with or a model= argument.
// 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/prathamesh-git9-agent-mesh-1p6of4)](https://m8ven.ai/mcp/prathamesh-git9-agent-mesh-1p6of4)
commit: 3dbfc52574a12b8def2f8036cce46c58ca29c50e
code hash: 6d282955d150c5632aabf1675796d64151ae891d88bd11edc2392bcd5dc1eb6f
verified: 7/21/2026, 8:51:03 AM
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