A
licenseNot graded
qualityD
maintenanceEnables natural language interaction with Apache Airflow for querying DAGs, monitoring execution, and troubleshooting failures.
1
MIT
airbyte-mcp
by trustxai
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TDQS
A4.2/5.0
Scored across 36 tools
Disambiguation4/5
Most tools have clearly distinct purposes with detailed descriptions. However, the multiple job- and log-related tools (e.g., airbyte_get_job, airbyte_get_job_details, airbyte_get_job_logs, airbyte_get_attempt_logs, airbyte_list_jobs, airbyte_list_jobs_internal) could confuse an agent despite the clarifications. The overlap is manageable but not perfect.
Naming Consistency5/5
All tools follow a consistent pattern: 'airbyte_' + verb (cancel, create, get, list, trigger, update, wait_for) + noun. Naming is uniform, uses snake_case, and no mixing of conventions. Very predictable.
Tool Count4/5
With 36 tools, the server covers a wide range of Airbyte operations thoroughly. While slightly numerous, each tool serves a specific, justified need in managing the data pipeline lifecycle. The count is appropriate for the comprehensive scope.
Completeness3/5
The tool set covers most major workflows (CRUD for sources, destinations, connections; job management; triggering syncs and refreshes). However, notable gaps exist: there are no tools to delete sources, destinations, or connections, which are missing CRUD operations. This limits the completeness of lifecycle management.
Maintenance
ActivityInactive
ResponsivenessNo issues