Advertise
MCP.so
Sign In
M

MCP Server To Control Openrefine

@FiquemSabendo

Repository

Basic information

Category

Other

Transports

stdio

Author

FiquemSabendo

Submitted by

Srihari Thalla

About MCP Server To Control Openrefine

No overview available yet

#mcp-server#openrefine#data-cleaning

MCP Server To Control Openrefine config

Add this server to your MCP-compatible client using the configuration below.

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

MCP Server To Control Openrefine tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mcp Server To Control Openrefine?

A Model Context Protocol (MCP) server that provides a typed, discoverable interface to OpenRefine’s HTTP API. It lets any MCP-capable client, such as Claude Desktop, orchestrate data-cleaning pipelines safely and reproducibly.

How to use Mcp Server To Control Openrefine?

Install Python 3.13+, uv, and ensure an OpenRefine instance is running (default: http://localhost:3333). Clone the repository, run uv sync, then configure your MCP client (e.g., Claude Desktop) by editing its configuration file to point to the server script and set the OPENREFINE_URL environment variable.

Key features of Mcp Server To Control Openrefine

  • Creates projects from dataset URLs
  • Applies editing operations to existing projects
  • Exports project data as CSV
  • Deletes projects
  • Provides project model information via a resource URI

Use cases of Mcp Server To Control Openrefine

  • Automating data cleaning steps in a reproducible pipeline
  • Integrating OpenRefine with AI assistants for conversational data wrangling
  • Applying batch operations across multiple OpenRefine projects

Frequently asked questions

1

What is the purpose of Mcp Server To Control Openrefine?

It exposes OpenRefine's HTTP API as MCP tools and resources, enabling AI agents and other MCP clients to interact with OpenRefine programmatically.

2

What are the prerequisites for running the server?

Python 3.13 or higher, the `uv` package manager, and a running OpenRefine instance (default URL `http://localhost:3333`).

3

How do I set it up with Claude Desktop?

Create or edit the Claude Desktop configuration file to add an MCP server entry that runs `uv run openrefine_mcp/openrefine_server.py` from the project directory, setting the `OPENREFINE_URL` environment variable.

4

Which OpenRefine API endpoints are implemented?

The server implements `create-project-from-upload`, `get-models`, `apply-operations`, `export-rows`, and `delete-project`. Endpoints like `set-project-metadata`, `set-project-tags`, `get-all-project-metadata`, `preview-expression`, and `get-processes` are not implemented.

5

Are all OpenRefine features available through this server?

No. The server implements a subset of the OpenRefine API. The README explicitly lists several endpoints as not implemented (marked with ❌).

Comments

More Other MCP servers

MCP Toolbox for Databases

googleapis

MCP Toolbox for Databases is an open source MCP server for databases.

15.9K

Awesome Mlops

visenger

A curated list of references for MLOps

14.0K

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Screenpipe

screenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

22.0K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K
Advertise