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MCP Server Dagster

This project provides a Dagster service interface based on the Model Context Protocol, enabling AI agents to interact with the Dagster data orchestration platform for data pipeline exploration, run monitoring, and asset management.
2.5 points
33

What is the Dagster MCP Server?

The Dagster MCP Server acts as a translator between AI systems and your Dagster data pipelines. It allows AI assistants to understand and interact with your data workflows using simple language commands instead of complex technical interfaces.

How does it work?

The server connects to your Dagster instance and provides a set of tools that AI agents can use to explore pipelines, check run statuses, materialize assets, and manage workflows - all through natural language requests.

When should I use it?

Ideal for teams who want to: 1) Query pipeline status using natural language 2) Automate routine data operations via AI 3) Enable non - technical users to interact with data workflows 4) Build AI - powered monitoring for data pipelines

Key Features

Pipeline ExplorationAI agents can discover and understand all available data pipelines and their components
Run ManagementStart, monitor, and terminate pipeline runs through simple commands
Asset ControlMaterialize specific data assets and retrieve their status/information
Workflow MonitoringGet real - time updates and summaries of pipeline execution status

Benefits and Limitations

Benefits
Lowers technical barriers for interacting with data pipelines
Enables natural language automation of routine operations
Provides real - time visibility into workflow status
Reduces need for custom integration code
Limitations
Requires properly configured Dagster instance
Limited to supported toolset (see Features section)
Natural language understanding depends on AI agent capabilities

Getting Started

Set up Dagster
Ensure you have a running Dagster instance with your pipelines deployed
Launch MCP Server
Start the MCP server connected to your Dagster instance
Connect AI Agent
Configure your AI system to communicate with the MCP server endpoint

Example Interactions

Asset DiscoveryAsk the AI to explain what data assets are available
Pipeline ExecutionRequest materialization of specific data products
Status MonitoringCheck on recent pipeline activity

Frequently Asked Questions

What Dagster versions are supported?
Can I customize the available tools?
Is this secure for production use?

Additional Resources

MCP Protocol Documentation
Learn about the Model Context Protocol standard
Dagster Official Site
Official documentation for Dagster
GitHub Repository
Source code and issue tracking
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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