mcp-dagster: A Dagster MCP Server
Overview
what is mcp-dagster?
The mcp-dagster is a Model Context Protocol (MCP) server that facilitates interaction between AI agents and Dagster, a data orchestration platform. It enables seamless integration of LLM applications with external data sources and tools.
how to use mcp-dagster?
To use mcp-dagster, start your Dagster instance and run the MCP server. You can then interact with the server using an agent that communicates with your Dagster instance to manage data pipelines and assets.
key features of mcp-dagster?
- Lists available Dagster repositories, jobs, and assets.
- Retrieves recent Dagster runs and detailed run information.
- Launches and terminates Dagster job runs.
- Materializes specific Dagster assets.
use cases of mcp-dagster?
- Monitoring and managing data pipelines in Dagster.
- Interacting with AI agents to query data assets and their statuses.
- Automating data processing tasks through Dagster jobs.
FAQ from mcp-dagster?
- What is the Model Context Protocol (MCP)?
MCP is an open protocol that allows LLM applications to integrate with various data sources and tools seamlessly.
- How do I start using mcp-dagster?
You need to run a Dagster instance and then start the MCP server to interact with it.
- What programming language is mcp-dagster written in?
mcp-dagster is written in Python.
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