A
licenseNot graded
qualityB
maintenanceAn MCP server that exposes Azure Data Factory operations as tools any LLM can call — trigger pipelines, monitor runs, inspect datasets, and get factory health summaries through natural language.
MIT
adf-mcp-server
by mvcharygenai
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@adf-mcp-servershow me failed pipeline runs in the last 24 hours across all factories"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
adf-mcp-server
your-adf-project/ │ ├── .github/ │ └── agents/ │ ├── adf-monitor.agent.md │ ├── adf-rca.agent.md │ └── adf-recovery.agent.md │ ├── adf/ ├── pipelines/ ├── datasets/ ├── linkedServices/ └── README.md
This server cannot be installed
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
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- AlicenseAqualityBmaintenanceEnables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.3MIT
- AlicenseNot gradedqualityCmaintenanceEnables interaction with Azure Data Factory instances, allowing users to list, read, create, update, and trigger pipelines, datasets, linked services, and runs through natural language.MIT
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