MCP For Claude Marketplace
Agent Consensus & Voting Engine

Agent Consensus & Voting Engine MCP Connector for Claude

A+

Deterministic multi-agent consensus and voting calculator.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a deterministic engine for calculating multi-agent consensus and voting outcomes. It allows AI agents to aggregate individual responses into a single collective decision using various methodologies like majority, weighted, Borda count, or approval voting. By accounting for agent expertise and confidence scores, the engine calculates critical metrics such as agreement ratio, dissent index, and confidence intervals. Use calculate_consensus to determine the final result, analyze_agent_reliability to assess data quality, and validate_voting_parameters to ensure mathematical soundness before execution.

consensusvotingmulti-agentstatisticsdecision-making

3 tools expose this connector's capabilities to your AI agent.

validate_voting_parameters

Ensures the configuration for a voting session is mathematically sound

analyze_agent_reliability

Evaluates the quality and dispersion of the input data to assess consensus trust

calculate_consensus

Determines the final consensus result and statistical metrics using a specific voting method

See how to talk to your AI agent using Agent Consensus & Voting Engine.

Calculate the consensus for these agents: Agent A (Yes, 0.9 confidence, 1.0 expertise), Agent B (No, 0.8 confidence, 0.5 expertise), and Agent C (Yes, 0.7 confidence, 0.8 expertise) using weighted voting with a 50% quorum.

The consensus result is Yes.

Check if the voting parameters are valid for a majority vote with a 60% quorum threshold.

The parameters are valid.

Analyze the reliability of these responses: Agent 1 (0.9 confidence), Agent 2 (0.95 confidence), and Agent 3 (0.85 confidence).

The average confidence is 0.9.

In weighted voting, the score for an answer is the sum of the products of confidence and expertise for all agents choosing that answer, divided by the sum of those products for all participating agents.

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