Schema | OpenRefine MCP Server

OpenRefine MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`OPENREFINE_URL`	No	URL of the OpenRefine instance	http://localhost:3333

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
create_projectA	Create a new OpenRefine project from a dataset URL. Args: dataset_url: URL of the dataset to import name: Optional name for the project Returns: Project information containing project ID and name
apply_operationsA	Apply operations to an OpenRefine project. Args: project_id: ID of the project to apply operations to operations: Operations as JSON string Returns: Summary with application status and last modified time
export_csvA	Export CSV data from an OpenRefine project. Args: project_id: ID of the project to export Returns: CSV data as string
delete_projectB	Delete an OpenRefine project. Args: project_id: ID of the project to delete Returns: True if the project was successfully deleted

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/FiquemSabendo/openrefine_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server