Use Agent Consensus Voting Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Turn conflicting opinions into a single, quantifiable decision.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Agent Consensus Voting Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Consensus Voting Engine.
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
Observed, not estimated
823ms average. Fast in production.
Agent Consensus Voting Engine is checked daily against the live service.
- Fastest day
- 682ms
- Slowest day
- 926ms
- 14-day trend
- Slowing+11%
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.
https://edge.vinkius.com/vk_preview_Zjo5n3owcgJR4lPtLlZvBhlnsZMTgt3Ntx9uHBP3/mcpClaude 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.
{
"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
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.
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