Does this MCP handle different types of voting?

Yes. It supports several methodologies, including weighted voting, Borda count, majority vote, and approval voting. You just specify which method you want to use in your prompt.

What is the difference between consensus and simple majority?

Simple majority just counts votes. This MCP calculates consensus by factoring in agent expertise and confidence scores, giving a much more nuanced and statistically robust result.

Do I need to worry about data quality before running the vote?

You shouldn't. The MCP includes a capability, analyze_agent_reliability, which specifically evaluates the quality and dispersion of the input data, letting you know how much to trust the outcome.

Can I use this with my existing AI workflow?

Absolutely. You connect your AI client—like Claude, Cursor, or Windsurf—to the Vinkius catalog. Once connected, you access this MCP directly through your agent's prompt.

What kind of metrics does it provide?

It provides critical metrics like the agreement ratio, the dissent index, and confidence intervals, which give you a full picture of the decision's statistical backing.

How does weighted voting work in this engine?

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.

What happens if the quorum is not met?

If the number of participating agents is less than the required quorum threshold, the calculate_consensus capability will flag isQuorumMet as false and the consensus result will be null.

Can I use this to detect split decisions?

Yes, the engine detects split decisions. If no single option receives more than 50% of the participating votes, isSplitDecision will be true.

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Connect Agent Consensus Voting Engine to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn conflicting opinions into a single, quantifiable decision.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Consensus Voting Engine.

01
Validate voting parameters
Ensures the configuration for a voting session is mathematically sound
02
Analyze agent reliability
Evaluates the quality and dispersion of the input data to assess consensus trust
03
Calculate consensus
Determines the final consensus result and statistical metrics using a specific voting method

Real work

What teams actually run

Market Trend Prediction

Multiple agents predict future market shifts. This MCP calculates the consensus, giving you a weighted average of the predictions.

Policy Drafting

A committee drafts a policy, and several agents suggest clauses. You use this MCP to determine the most supported clause based on expertise.

Code Review Consensus

Several AI agents review a code block and suggest fixes. This MCP determines the consensus fix, factoring in which agent has the highest reliability score.

Scientific Hypothesis Testing

Multiple research models suggest outcomes for a hypothesis. You use this MCP to calculate the overall agreement ratio and confidence interval.

One connector, every AI

Agent Consensus Voting Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Agent Consensus Voting Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

894ms average. Fast in production.

Agent Consensus Voting Engine is checked daily against the live service.

Daily averagePeak 1065ms

Oct 3Today

Fastest day: 724ms
Slowest day: 1065ms
14-day trend: Improving-13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Agent Consensus Voting Engine, so you can see the experience inside your AI.

It does not authenticate your account with Agent Consensus Voting Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Agent Consensus Voting Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Zjo5n3owcgJR4lPtLlZvBhlnsZMTgt3Ntx9uHBP3/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Agent Consensus Voting Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "agent-consensus-voting-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Zjo5n3owcgJR4lPtLlZvBhlnsZMTgt3Ntx9uHBP3/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Agent Consensus Voting Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Agent Consensus Voting Engine owners hand off.

Anyone who relies on multiple viewpoints for high-stakes decisions needs this MCP. If your process requires more than a simple majority vote, this capability provides the necessary mathematical rigor. It's essential for teams that need to quantify disagreement.

01
Research Analyst
Uses it to synthesize conflicting findings from multiple literature reviews or data sources.
02
Strategy Consultant
Applies it to gauge the collective opinion of internal teams or market segments.
03
Legal Reviewer
Calculates consensus when multiple experts provide differing interpretations of complex regulations.

FAQ

Questions Agent Consensus Voting Engine owners ask.

01
Does this MCP handle different types of voting?
Yes. It supports several methodologies, including weighted voting, Borda count, majority vote, and approval voting. You just specify which method you want to use in your prompt.
02
What is the difference between consensus and simple majority?
Simple majority just counts votes. This MCP calculates consensus by factoring in agent expertise and confidence scores, giving a much more nuanced and statistically robust result.
03
Do I need to worry about data quality before running the vote?
You shouldn't. The MCP includes a capability, analyze_agent_reliability, which specifically evaluates the quality and dispersion of the input data, letting you know how much to trust the outcome.
04
Can I use this with my existing AI workflow?
Absolutely. You connect your AI client—like Claude, Cursor, or Windsurf—to the Vinkius catalog. Once connected, you access this MCP directly through your agent's prompt.
05
What kind of metrics does it provide?
It provides critical metrics like the agreement ratio, the dissent index, and confidence intervals, which give you a full picture of the decision's statistical backing.
06
How does weighted voting work in this engine?
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.
07
What happens if the quorum is not met?
If the number of participating agents is less than the required quorum threshold, the calculate_consensus capability will flag isQuorumMet as false and the consensus result will be null.
08
Can I use this to detect split decisions?
Yes, the engine detects split decisions. If no single option receives more than 50% of the participating votes, isSplitDecision will be true.

Explore

More in Mathematics

Connect Agent Consensus Voting Engine to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Validate voting parameters

Analyze agent reliability

Calculate consensus

What teams actually run

Market Trend Prediction

Policy Drafting

Code Review Consensus

Scientific Hypothesis Testing

Building your own app? The connector is yours to use.

Agent Consensus Voting Engine Connector

Claude Desktop

Research Analyst

Strategy Consultant

Legal Reviewer

Does this MCP handle different types of voting?

What is the difference between consensus and simple majority?

Do I need to worry about data quality before running the vote?

Can I use this with my existing AI workflow?

What kind of metrics does it provide?

How does weighted voting work in this engine?

What happens if the quorum is not met?

Can I use this to detect split decisions?

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