Mcp Server To Control Openrefine

Created By

FiquemSabendoa year ago

Overview

what is Mcp Server To Control OpenRefine?

Mcp Server To Control OpenRefine is a Model Context Protocol (MCP) server that provides a typed, discoverable interface to OpenRefine's HTTP API, enabling safe and reproducible orchestration of data-cleaning pipelines.

how to use Mcp Server To Control OpenRefine?

To use the MCP server, install the required prerequisites, clone the repository, install dependencies, and configure your MCP server in the Claude Desktop configuration file. Restart Claude Desktop to load the new server.

key features of Mcp Server To Control OpenRefine?

Implements key OpenRefine API endpoints for project management.
Allows creation, deletion, and export of OpenRefine projects.
Provides a structured interface for data cleaning operations.

use cases of Mcp Server To Control OpenRefine?

Automating data cleaning processes in data analysis workflows.
Integrating OpenRefine with other data processing tools.
Facilitating reproducible research by managing data projects efficiently.

FAQ from Mcp Server To Control OpenRefine?

What are the prerequisites for using the MCP server?

You need Python 3.13 or higher and an instance of OpenRefine running.

Can I use this server with any MCP-capable client?

Yes, it is designed to work with any MCP-capable client like Claude Desktop.

Is there a license for this project?

Yes, it is licensed under the MIT License.

Server Config

{
  "mcpServers": {
    "openrefine": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/your/openrefine_mcp",
        "run",
        "openrefine_mcp/openrefine_server.py"
      ],
      "env": {
        "OPENREFINE_URL": "http://localhost:3333"
      }
    }
  }
}

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