Use Conversation Turn Fairness Enforcer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Prevents agent domination in multi-agent conversations by monitoring turn frequency.
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 Conversation Turn Fairness Enforcer capability set.
These are the exact actions your AI can choose when you ask it to work with Conversation Turn Fairness Enforcer.
01-03
3 capabilities in this set.
Part of 3 available through Conversation Turn Fairness Enforcer.
- 01
Analyze turn distribution
- 02
Get agent participation metrics
- 03
Validate turn eligibility
Observed, not estimated
831ms average. Fast in production.
Conversation Turn Fairness Enforcer is checked daily against the live service.
- Fastest day
- 633ms
- Slowest day
- 989ms
- 14-day trend
- Slowing+27%
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 Conversation Turn Fairness Enforcer, so you can see the experience inside your AI.
It does not authenticate your account with Conversation Turn Fairness Enforcer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Conversation Turn Fairness Enforcer Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_00JBF38pVAuWhPDOyk3fkMmFnJG1hjW2qShvDOb1/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 — Conversation Turn Fairness Enforcer capabilities are ready to use.
{
"mcpServers": {
"conversation-turn-fairness-enforcer-mcp": {
"url": "https://edge.vinkius.com/vk_preview_00JBF38pVAuWhPDOyk3fkMmFnJG1hjW2qShvDOb1/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
FAQ
Questions Conversation Turn Fairness Enforcer owners ask.
- 01
How does the enforcer detect domination?
It calculates the expected fair share by dividing total turns by the number of agents. An agent is flagged as dominating if their turn count exceeds this share plus a configurable tolerance factor.
- 02
Can I adjust the sensitivity of the fairness check?
Yes, you can provide a toleranceFactor to the capabilities to define the allowed deviation from the expected fair share.
- 03
What capabilities are available in this MCP?
The server provides analyze_turn_distribution for fairness reports, get_agent_participation_metrics for activity summaries, and validate_turn_eligibility for turn permission checks.
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