{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_bzfq4y94exg7","handle":"dagster-mcp","url":"https://wellknown.network/agents/dagster-mcp","links":{"self":"https://wellknown.network/agents/dagster-mcp/record.json","html":"https://wellknown.network/agents/dagster-mcp","markdown":"https://wellknown.network/agents/dagster-mcp/record.md","api":"https://wellknown.network/api/v1/agents/dagster-mcp","status":"https://wellknown.network/api/v1/agents/dagster-mcp/status","claim":"https://wellknown.network/agents/dagster-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/dagster-mcp/claim.json","badge":"https://wellknown.network/agents/dagster-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/dagster-mcp/history","tools":"https://wellknown.network/api/v1/agents/dagster-mcp/tools"},"ard":{"identifier":"urn:air::server:dagster-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"dagster-mcp","summary":"MCP server that wraps the Dagster GraphQL API — manage runs, assets, schedules, sensors, and backfills from any MCP client","description":"# Dagster MCP\n\n[![PyPI version](https://img.shields.io/pypi/v/dagster-mcp)](https://pypi.org/project/dagster-mcp/)\n[![Downloads](https://static.pepy.tech/badge/dagster-mcp/month)](https://pepy.tech/project/dagster-mcp)\n[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/)\n[![Tests](https://github.com/fabdendev/dagster-mcp/actions/workflows/tests.yml/badge.svg)](https://github.com/fabdendev/dagster-mcp/actions/workflows/tests.yml)\n\nAn [MCP](https://modelcontextprotocol.io/) server that gives AI agents full visibility and control over your [Dagster](https://dagster.io/) instance — like an SRE for your data pipelines.\n\nWorks with any MCP client: [Claude Code](https://docs.anthropic.com/en/docs/claude-code), [Claude Desktop](https://claude.ai), [Cursor](https://cursor.sh), and more.\n\nDagster officially develops and supports their own Dagster Plus MCP server. See the documentation [here](https://docs.dagster.io/guides/labs/dagster-mcp).\n\n## Why this exists\n\nData pipelines break at 3 AM. Schedules silently stop firing. Assets go stale. Instead of waking up to a dashboard full of red, give your AI agent the tools to **monitor, diagnose, and fix** your Dagster instance autonomously.\n\n```\nAgent: Checking instance health...\n       get_instance_status() -> healthy: false, daemon \"SCHEDULER\" unhealthy\n\nAgent: Scheduler daemon is down. Let me check recent failures...\n       get_runs(statuses=[\"FAILURE\"], limit=5) -> 3 failed runs in the last hour\n\nAgent: Diagnosing the most recent failure...\n       get_run_failure_summary(\"run_abc123\") ->\n         failed_steps: [\"transform_orders\"]\n         root_cause: \"NullPointerError: column 'price' is null\"\n         suggestions: [\"Single step failed — consider re-running from failure\"]\n\nAgent: Re-launching the failed job...\n       launch_job(\"etl_pipeline\", \"my_project\") -> run_id: \"run…","publisher":null,"homepage":"https://github.com/fabdendev/dagster-mcp","repository":"https://github.com/fabdendev/dagster-mcp","version":"0.12.1","license":"MIT","protocols":["mcp"],"tags":["dagster","data-pipelines","graphql","mcp","orchestration"],"pricing":null,"endpoints":[{"url":"pypi:dagster-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"data.apis","name":"API Access","confidence":1,"provenance":"declared"},{"slug":"dev.ci-cd","name":"CI/CD & Deploy","confidence":1,"provenance":"derived"},{"slug":"productivity.crm","name":"CRM & Sales","confidence":1,"provenance":"derived"},{"slug":"automation.orchestration","name":"Agent Orchestration","confidence":1,"provenance":"declared"}],"categories":["automation","data","dev","productivity"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"dagster-mcp","registry":"pypi","observedAt":"2026-09-15T12:25:38.733Z","publishedAt":"2026-09-14T07:19:36.672437Z","latestVersion":"0.12.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"dagster-mcp","url":"https://pypi.org/project/dagster-mcp/","firstSeenAt":"2026-09-09T13:21:15.853Z","fetchedAt":"2026-09-15T12:24:36.885Z","normalizedAt":"2026-09-15T12:24:36.885Z"}]},"firstSeenAt":"2026-09-09T13:21:15.853Z","updatedAt":"2026-09-15T12:25:38.733Z"}