$ loading_
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.
Coordinate multi-agent AI workflows across clients with delegation and shared artifacts.
Use MCP to query and operate Hack The Box resources via API.
Give AI agents unified access to Harness for deployment and DevOps workflows.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Securely equips AI agents with executable tools for commands, search, and file operations.