ConKurrence is a statistically validated consensus measurement toolkit for AI evaluation pipelines that uses multiple AI models as independent raters to measure inter-rater reliability and routes contested items to human experts.
From the registry: Measure whether your AI agrees with itself using statistical consensus metrics.
Please install the `conkurrence` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","conkurrence","mcp"]
Note: Self-consistency mode uses host model via MCP Sampling — no API keys needed by default.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.