Skip to main content
Glama
gabcoyne

airflow-unfactor

by gabcoyne
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to airflow-unfactor

No user-submitted related servers found.

    Related Servers

    • airflow-mcp-server

      MO-Umer977
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.
      MIT
    • astro-airflow-mcp by astronomer

      astro-airflow-mcpofficial

      astronomer
      A
      license
      A
      quality
      F
      maintenance
      An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.
      31
      13
      Apache 2.0

    • airflow-dev-mcp

      BrianLondon
      A
      license
      A
      quality
      A
      maintenance
      An MCP server that enables AI coding assistants to interact with a local Airflow cluster via its REST API for triggering DAG runs, monitoring status, reading logs, and diagnosing errors.
      10
      1
      MIT

    • Apache Airflow MCP Server

      swesmith-repos
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      An MCP server that wraps the Apache Airflow REST API, enabling clients to manage DAGs, monitor task instances, and handle workflows through a standardized interface. It provides comprehensive access to Airflow features including DAG runs, variables, connections, and XComs.
      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

    A4.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct stage of the migration workflow: reading source, lookup translation knowledge, searching docs, validating, scaffolding project, generating deployment config, and writing report. No two tools overlap in purpose or could be confused.

    Naming Consistency3/5

    Most tools follow a verb_noun pattern (read_dag, lookup_concept, search_prefect_docs, generate_deployment, generate_migration_report), but 'validate' and 'scaffold' are single verbs without objects, breaking the pattern. The naming style is still readable and all lowercase with underscores.

    Tool Count5/5

    7 tools is well within the ideal 3-15 range and perfectly scoped for the server's purpose: converting Airflow DAGs to Prefect. Each tool earns its place in the workflow without redundancy or bloat.

    Completeness4/5

    The tool set covers the major stages of migration: reading the source, understanding concepts, verifying, scaffolding, deployment config, and reporting. The only notable gap is the lack of a tool to generate the actual flow code, but this is intentional (the LLM is expected to write it). Minor gaps like automatic metadata extraction are workable.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources