Skip to main content
Glama
trustxai

airbyte-mcp

by trustxai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to airbyte-mcp

No user-submitted related servers found.

    Related Servers

    • Airflow MCP

      ponderedw
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables natural language interaction with Apache Airflow for querying DAGs, monitoring execution, and troubleshooting failures.
      1
      MIT

    • Airflow MCP

      hipposys-ltd
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables users to interact with Apache Airflow orchestration platform through natural language to query pipeline statuses, troubleshoot DAG failures, trigger DAGs, and analyze configurations.
      10
      MIT

    • Baserow MCP Server

      raymatos
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables natural language interaction with Baserow databases, supporting workspace, database, table, and row operations with authentication and batch capabilities.
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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

    Resources