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Run traceable AI agents via MCP with knowledge and Kubernetes operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Hatchet MCP" yet — see the docs or source repo.
Use Hatchet MCP to create a LangGraph-based customer support agent. Log every step, automatically retry failures up to 3 times, and return a traceable execution summary.
A configured agent workflow description, retry and logging settings, and a traceable execution result summary.
Use Hatchet MCP to ingest product manuals and FAQs, build a RAG knowledge base, and answer: "How do I reset the enterprise admin password?" Include cited sources.
The ingestion result, a generated answer, and cited source references from the knowledge base.
Use Hatchet MCP to inspect a CrashLoopBackOff service in production Kubernetes, analyze likely causes, propose a fix, and perform an auto-fix when safe.
A diagnostic report, remediation action log, execution logs, and the post-fix service status.
Enable AI agents to manage TheHive cases, alerts, observables, and tasks.
Give AI agents unified access to Harness for deployment and DevOps workflows.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Expose modular retrieval and reasoning tools to AI assistants through MCP.
Turn unstructured documents into a searchable knowledge base for AI agents.
Connect once to access tools aggregated from many upstream MCP servers.