Dagster enables AI agents to inspect and operate data orchestration pipelines by exploring assets, jobs, schedules, sensors, and runs. Launch and monitor pipeline executions, inspect logs and failures, review asset dependencies, and troubleshoot data workflows across Dagster deployments.
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Encrypted at rest, isolated from the model
Resolved from an AES-256-GCM vault at the moment of the call and attached to the request — the model never sees the secrets.
List Dagster asset checks by asset key.
List recent Dagster runs, optionally filtered by status or job name.
Get detailed metadata for a single Dagster run.
Get paginated event logs for a Dagster run.
Get metadata about a Dagster Plus deployment.
List the code locations in a Dagster Plus deployment.
List deployments in the organization. Returns either production or branch deployments.
Get metadata and health information for a single asset.
Get paginated assets, optionally filtered by asset key prefix.
Get code location and repository information for a single asset.
Get code location and repository information for multiple assets.
List all alert policies in the current deployment.
Get a single alert policy by ID.
Get the alert policies that currently apply to a specific job.
Get paginated notification history for an alert policy.
Get alert notifications that fired for a run, plus the matching policies.
Get all alert policies as a Dagster config document suitable for editing.
Create or update an alert policy from a Dagster Cloud config document.
List Dagster Issues.
Create a Dagster issue with optional run or asset origin context.
Update an existing Dagster issue.
Link a Dagster run or asset to an Issue.
Remove a link from a Dagster issue.
Delete an alert policy by name.
Launch a new Dagster run for a job, optionally for a subset of its assets.
Materialize an ad hoc selection of assets.
Launch a re-execution of an existing run.
Launch a re-execution of an existing backfill.
Terminate a running Dagster run.
List available metric types for assets.
List available metric types for jobs.
List available metric types for deployments.
Get reporting metrics broken down by asset.
Get reporting metrics broken down by job.
Get reporting metrics broken down by deployment.
Get reporting metrics aggregated across an asset selection.
One endpoint, the same key, whichever client you use.
~/Library/Application Support/Claude/claude_desktop_config.json (Mac) · %APPDATA%\Claude\claude_desktop_config.json (Windows)
Replace API_KEY with your own key.
Already have an "mcpServers" section in your config? Just add the server entry inside it.
Any agentOne Gateway
Discovery, routing, credentials, tool scoping and execution logs all happen at the gateway→connections stay ACTIVE with no work from you
Dagster MCP runs through a gateway that holds the credentials, scopes the access and records every call.
Point your agent at the interview transcripts in Notion, and it pulls the top themes with supporting quotes into an insights page.
Ask whether your database is healthy and your agent checks connectivity, inspects the schema, and flags drift in a handful of calls.
Managed auth, hosted MCP servers, and every Dagster MCP tool your agent needs.
Free to start.
