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Automate OpenRefine projects, data cleaning steps, and CSV exports via API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OpenRefine MCP Server" yet — see the docs or source repo.
Use the OpenRefine MCP Server to create a new project, import sales.csv, trim whitespace and normalize case in the 'City' column, then export the cleaned CSV.
Returns project creation and transformation results, plus a cleaned CSV file or export link.
Create a new OpenRefine project with customers.csv, apply the operations JSON I provide, and export the processed CSV.
Applies the predefined transformation pipeline and outputs a downloadable result file.
Create a temporary OpenRefine project for inventory.csv, deduplicate rows and rename columns, export the final CSV, then delete the project.
Completes data processing and export, then removes the temporary project to avoid leftovers.
Convert OpenAPI files into tailored MCP servers with only needed tools.
Manage OpenProject projects, work packages, activities, and wiki pages through AI.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Read and manage OpenProject data with guarded tools and confirmed write actions.
Convert OpenAPI specs into MCP servers so AI agents can call APIs.
Connect OpenProject so AI can manage projects, track work packages, and create tasks.