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ConKurrence

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.

Install

npm install -g conkurrence

Related MCP server: CI-1T Prediction Stability Engine

MCP Server

Use ConKurrence as an MCP server in Claude Desktop or any MCP-compatible client:

npx conkurrence mcp

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "conkurrence": {
      "command": "npx",
      "args": ["-y", "conkurrence", "mcp"]
    }
  }
}

Claude Code Plugin

/plugin marketplace add AlligatorC0der/conkurrence

Features

  • Multi-model evaluation — Run your schema against Bedrock, OpenAI, and Gemini models simultaneously

  • Statistical rigor — Fleiss' kappa with bootstrap confidence intervals, Kendall's W for validity

  • Self-consistency mode — No API keys needed; uses the host model via MCP Sampling

  • Schema suggestion — AI-powered schema design from your data

  • Trend tracking — Compare runs over time, detect agreement degradation

  • Cost estimation — Know the cost before running

MCP Tools

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

License

BUSL-1.1 — Business Source License 1.1

F
license - not found
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

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