MCP Config for Dataeval/Dingo
MCP Config for Dataeval/Dingo is a verified MCP_CONFIG blueprint on Promptally in Developer Tools & Git optimized for leading AI models. Data quality evaluation with Dingo: run rule-based and LLM-based evaluations and list its rules and prompts. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Created by @promptallyTechnical Specifications
| Specification | Value |
|---|---|
| Artifact type | MCP CONFIG (Developer Tools & Git) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 33 |
| Source file | mcp.json |
| Access tier | Free public (MIT) |
Pre-Filled Template
{
"mcpServers": {
"dingo": {
"command": "uvx",
"args": [
"-y",
"DataEval/dingo"
]
}
}
}How to use this mcp config
- Review the pre-filled example and source files above.
- Copy the template or download
mcp.json, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use MCP Config for Dataeval/Dingo?
Open the mcp config on Promptally, review the pre-filled example, then copy the template or download mcp.json and paste it into your model, IDE or workflow tool. MCP Config for Dataeval/Dingo is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is MCP Config for Dataeval/Dingo free?
Yes. MCP Config for Dataeval/Dingo is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does MCP Config for Dataeval/Dingo need?
MCP Config for Dataeval/Dingo is a static blueprint with no dynamic variables. Copy it and use it as-is.