ConKurrence is a statistically validated consensus measurement toolkit for AI evaluation pipelines. It uses multiple AI models as independent raters
ConKurrence is a statistically validated consensus measurement toolkit for AI evaluation pipelines. It uses multiple AI models as independent raters, measures
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| Tool | What it does |
|---|---|
| conkurrence_run | Execute an evaluation across multiple AI raters |
| conkurrence_report | Generate a detailed markdown report |
| conkurrence_compare | Side-by-side comparison of two runs |
| conkurrence_trend | Track agreement over multiple runs |
| conkurrence_suggest | AI-powered schema suggestion from your data |
| conkurrence_validate_schema | Validate a schema before running |
| conkurrence_estimate | Estimate cost and token usage |
{
"mcpServers": {
"conkurrence": {
"command": "npx",
"args": [
"-y",
"conkurrence",
"mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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