A
licenseB
qualityD
maintenanceEnables AI assistants to interact with Automatisch workflow automation platform, allowing them to create, manage, and monitor workflows, connections, and executions through natural language commands.
10
7 npm
7
MIT
tracecat-mcp-community
by adrojis
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TDQS
B3.2/5.0
Scored across 94 tools
Disambiguation4/5
Most tools have distinct purposes with clear descriptions, but some pairs like tracecat_get_execution / tracecat_get_execution_compact and tracecat_run_workflow / tracecat_run_workflow_draft could cause confusion. Overall, the delineation is good.
Naming Consistency5/5
All tools follow the consistent 'tracecat_verb_noun' pattern (e.g., tracecat_list_cases, tracecat_delete_workflow). Verbs and nouns are uniformly used, making the surface predictable.
Tool Count1/5
With 94 tools, the count is extremely high for any MCP server. While the coverage is broad, this number likely overwhelms agents and exceeds the typical well-scoped range of 3–15 tools.
Completeness5/5
The tool set covers CRUD operations for all major entities (workflows, cases, tables, secrets, integrations, etc.) and includes validation, debugging, and deployment. No obvious gaps in lifecycle coverage.
Maintenance
ActivityInactive
ResponsivenessNo issues