Hatchet MCP Server
Related Servers
Alternatives to Hatchet MCP Server
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Related Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server for Hatchet, the durable orchestration engine, enabling LLMs to inspect workflow definitions, runs, logs, and more, with optional mutating tools for triggering, canceling, and managing workflows.217 PyPIMIT
- FlicenseBqualityFmaintenanceEnables comprehensive Datadog monitoring capabilities including CI/CD pipeline management, service logs analysis, metrics querying, monitor and SLO management, service definitions retrieval, and team management through Claude and other MCP clients.1320-
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- AlicenseNot gradedqualityBmaintenanceEnables 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).MIT
- AlicenseNot gradedqualityCmaintenanceLets an LLM like Claude inspect and control an automation job queue — list jobs, check status, trigger new runs, retry failures, and pull queue-wide stats through natural language.MIT
- AlicenseNot gradedqualityDmaintenanceProvides Claude AI assistants with focused monitoring tools for n8n workflow execution analysis, including active workflow listing, execution history with KPIs, and detailed failure information.1MIT
TDQS
Scored across 6 tools
Most tools have distinct purposes focused on different aspects of workflow management (metrics, runs, workflows), but get_run_result and get_run_status could potentially overlap in some use cases since both retrieve information about specific runs. The descriptions help clarify that get_run_result focuses on output data while get_run_status focuses on current status, but an agent might still need to carefully choose between them.
All tools follow a consistent verb_noun pattern with clear, descriptive names. The naming convention is uniform throughout: get_queue_metrics, get_run_result, get_run_status, list_runs, list_workflows, and search_runs. This consistency makes it easy for agents to understand and predict tool functionality.
Six tools is an appropriate number for a workflow management server. This provides comprehensive coverage without being overwhelming. The tools cover metrics retrieval, run status checking, run listing/searching, and workflow listing - a well-scoped set that addresses the core needs of interacting with a workflow system.
The tool set provides strong read/search capabilities for workflows and runs, with good coverage for querying metrics, status, results, and metadata. Minor gaps exist in write operations (no tools for creating/triggering workflows or managing runs), but for a monitoring/query-focused server, the surface is reasonably complete for its apparent purpose.