Measure whether your AI agrees with itself using statistical consensus metrics.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Conkurrence.
conkurrence_runExecute an evaluation across multiple AI raters
conkurrence_reportGenerate a detailed markdown report
conkurrence_compareSide-by-side comparison of two runs
conkurrence_trendTrack agreement over multiple runs
conkurrence_suggestAI-powered schema suggestion from your data
conkurrence_validate_schemaValidate a schema before running
One command. Find out if your AI agrees with itself.
ConKurrence is a statistically validated consensus measurement toolkit for AI evaluation pipelines. It uses multiple AI models as independent raters, measures inter-rater reliability with Fleiss' kappa and bootstrap confidence intervals, and routes contested items to human experts.
Use ConKurrence as an MCP server in Claude Desktop or any MCP-compatible client:
Add to your claude_desktop_config.json:
| Tool | Description |
|---|---|
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 |
BUSL-1.1 β Business Source License 1.1
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