Skip to main content
Glama
kyryl-opens-ml

mcp-dagster

by kyryl-opens-ml
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to mcp-dagster

No user-submitted related servers found.

    Related Servers

    • Databricks MCP Server

      proxziima
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to explore Unity Catalog metadata, execute SQL queries, and analyze data lineage including notebooks and jobs, empowering autonomous data discovery and query generation in Databricks.
      MIT

    • data.world MCP

      srikar-pasumarthy
      F
      license
      Not graded
      quality
      D
      maintenance
      Exposes data.world's catalog, glossary, lineage, and SQL/SPARQL query APIs to LLM agents, enabling natural language interaction with enterprise data assets.
      -

    • DataDog MCP Server

      Believe-SA
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with DataDog's observability platform through a standardized interface. Supports monitoring infrastructure, managing events, analyzing logs and metrics, and automating operations like alerts and downtimes.
      1
      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

    B3.2/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: listing repositories, jobs, assets; getting run/asset info; and actions like launch/terminate/materialize. There is no ambiguity between tools.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (list_*, get_*, launch_run, terminate_run, materialize_asset), but 'recent_runs' breaks the pattern as an adjective-noun phrase. This is a minor deviation.

    Tool Count5/5

    9 tools is well-scoped for a Dagster server covering repositories, jobs, assets, and runs. It provides necessary operations without being excessive.

    Completeness4/5

    The surface covers listing and getting info for key entities, plus launching/terminating runs and materializing assets. A minor gap is the lack of get_job_info or more granular run listing, but core workflows are supported.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources