How do I connect Dagster MCP Server to Claude?

Run `claude mcp add dagster-mcp -- uvx dagster-mcp` in Claude Code, or add the same command and arguments under mcpServers in Cursor's mcp.json or Claude Desktop's claude_desktop_config.json, then restart the client. The blocks above are ready to paste.

Is Dagster MCP Server free?

The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.

What can Dagster MCP Server do?

Dagster MCP Server documents 27 tools to the agent, including backfill_assets, get_asset_details, get_asset_health. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.

Dagster MCP

Unclaimed

by fabdendev

MCP server that wraps the Dagster GraphQL API — monitor and operate runs, assets, schedules, sensors, and backfills from any MCP client

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01 / Choose your client

02 / Before you connect

Authentication is not specified. Check the project instructions before connecting.

Install the runtime required by the project and make it available to your client.

Project instructionsEnvironment variable names (optional)

Use names from the project instructions, separated by commas. Enter names only, never secret values.

03 / Add the configuration

Source: generated from public install instructions

claude mcp add --transport stdio 'dagster-mcp' -- 'uvx' 'dagster-mcp'

Run in your terminal after replacing any placeholders.

04 / Check it in your client

Open your client’s MCP settings and confirm the server connects and lists its tools. A copied configuration does not confirm a working connection.

ai-agentdagsterdata-pipelinesdataopsgraphqlllmmcpmodel-context-protocol

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27 of 27 tools

Documented tools (27)

From project documentation. A server handshake does not verify each tool’s description or behavior.

backfill_assets

Launch a partition backfill by asset selection with optional run config; respects each asset's BackfillPolicy server-side

get_asset_details

Get description, upstream/downstream dependencies, partitions, latest materialization

get_asset_health

Consolidated health view — staleness, freshness policy, last run status (works with single asset or entire group)

get_instance_status

Start here — global health: daemon status, queued run count, code location errors

get_recent_materializations

Get materialization history with metadata for an asset

get_run_failure_summary

Consolidated failure diagnosis — failed steps, root cause error, step durations, and suggestions in one call

get_run_logs

Get structured log events with pagination and optional level filtering (ERROR, WARNING, INFO); EngineEvent events include metadataEntries

get_run_stats

Get per-step execution stats: timing, materializations, expectation results

get_run_status

Get status, config, tags, and run lineage (re-execution chain via rootRunId/parentRunId)

get_runs

List recent runs, filter by job name and/or status

get_tick_history

Tick-by-tick history for a schedule or sensor — essential for detecting silent failures. Accepts optional repositoryname / locationname to disambiguate a name shared by several code locations

launch_job

Launch a named job; assetkeys remains supported for compatibility and is sent through GraphQL assetSelection, but the two-step asset workflow is preferred

launch_job_with_partitions

Launch a partitioned job for one or more partition keys; creates a backfill (supports fromfailure to retry only failed steps)

list_backfills

List recent backfills with status and partition progress

list_code_locations

List all code locations and their load status

list_jobs

List jobs across code locations, optionally filtered by exact repositoryname and/or locationname (use to find names for launchjob)

list_schedules

List schedules with status (RUNNING/STOPPED), cron, target job, next tick

list_sensors

List sensors with status and target jobs

materialize_assets

Launch concrete, unpartitioned asset keys with run config and tags; infers one compatible repository/job, includes compatible checks, and expands required non-subsettable multi-asset neighbors

reload_code_location

Reload a code location after deploy

resolve_asset_selection

Resolve key/group/tag/kind/owner predicates, wildcards, boolean logic, roots/sinks, and lineage traversal into concrete asset keys without launching anything

search_assets

Discover assets by key prefix or group name

start_schedule

Start (enable) a schedule so it launches runs on its cron

start_sensor

Start (enable) a sensor so it resumes evaluating

stop_schedule

Stop (disable) a schedule — persists across restarts; does not terminate in-flight runs

stop_sensor

Stop (disable) a sensor — the fix for a runaway or erroring sensor found via gettickhistory

terminate_run

Stop a stuck or runaway run

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about Dagster MCP Server

How do I connect Dagster MCP Server to Claude?: Run `claude mcp add dagster-mcp -- uvx dagster-mcp` in Claude Code, or add the same command and arguments under mcpServers in Cursor's mcp.json or Claude Desktop's claude_desktop_config.json, then restart the client. The blocks above are ready to paste.
Is Dagster MCP Server free?: The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Dagster MCP Server do?: Dagster MCP Server documents 27 tools to the agent, including backfill_assets, get_asset_details, get_asset_health. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.