Dingo MCP Server
About
MCP server for the Dingo: a comprehensive data quality evaluation tool. Server enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules, and prompts listing. Official GitHub link: https://github.com/DataEval/dingo
Details
- Author
- DataEval
- Downloads
- 414
- Categories
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Jump to
- Lists available Dingo rule groups and LLM model identifiers.
- Runs rule-based evaluations with configurable rule groups.
- Runs LLM-based evaluations with custom configuration files.
- Supports local, Hugging Face, and other dataset inputs.
- Allows saving detailed outputs (JSONL, correct data) to disk.
- Integrates seamlessly with Cursor’s MCP system.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Dingo MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, install dependencies (e.g., pip install -r requirements.txt), then run python mcp_server.py which starts the server via SSE transport by default. Customize the host, port, and log level inside the script’s mcp.run() call. Configure your MCP client (e.g., Cursor) by adding a "url" entry in its mcp.json that matches the server’s address.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"dingo mcp server": {
"dingo": {
"command": "python",
"args": [
"mcp_server.py"
]
}
}
}
}McpServers
{
"dingo": {
"command": "python",
"args": [
"mcp_server.py"
]
}
}list_dingo_components()
Lists available Dingo rule groups and registered LLM model identifiers.
Arguments: None
Returns: Dict[str, List[str]] - A dictionary containing rule_groups and llm_models.
Example Cursor Usage:
> Use the dingo_evaluator tool to list dingo components.
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