Hatchet MCP

Item: Hatchet MCP
Rating: 52
Author: M8ven

Enables running durable, traceable AI agents via LangGraph through a universal MCP interface, integrating with Hatchet for orchestration, logging, and retries. Provides tools for knowledge management (ingestion, RAG) and Kubernetes operations (diagnosis, auto-fix).

→ swang62/hatchet-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 1 credential: 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.

configOPENAI_MODEL

🔐 secretOPENAI_API_KEY

configOPENAI_BASE_URL

// 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 7 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/swang62-hatchet-mcp-lhxjly)](https://m8ven.ai/mcp/swang62-hatchet-mcp-lhxjly)

commit: 6fcb51df79cd7184541540fbaca35eba11c991ab

code hash: b2c04fc4ab27bf92e9c8b6f1cbaeab805fea78cf9a5c11993f9b2b1f6ab6c9c1

verified: 6/23/2026, 10:14:04 AM

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