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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Hallucination Cross-Checker with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Get a reliable consensus score on agent claims.

Included with plan

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Agent Hallucination Cross-Checker capability set.

These are the exact actions your AI can choose when you ask it to work with Agent Hallucination Cross-Checker.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Hallucination Cross-Checker.

  1. 01

    Analyze agreement depth

    Breaks down the nature of agent interactions to distinguish between total agreement, partial agreement, and contradictions

  2. 02

    Detect hallucinations

    Identifies specific claims that are likely to be hallucinations based on probabilistic modeling and contradiction detection

  3. 03

    Verify claim consensus

    Calculates the overall reliability of the provided agent outputs through consistency and source metrics

Observed, not estimated

824ms average. Fast in production.

Agent Hallucination Cross-Checker is checked daily against the live service.

Daily averagePeak 986ms
Aug 20Today
Fastest day
673ms
Slowest day
986ms
14-day trend
Slowing+18%

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 Hallucination Cross-Checker, so you can see the experience inside your AI.

It does not authenticate your account with Agent Hallucination Cross-Checker. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Agent Hallucination Cross-Checker Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_gNakA7A2khcr2iZRVhwDq7FmQPxkJEuT4qaJkwaU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Agent Hallucination Cross-Checker capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-hallucination-cross-checker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_gNakA7A2khcr2iZRVhwDq7FmQPxkJEuT4qaJkwaU/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 Hallucination Cross-Checker owners hand off.

This MCP is essential for anyone whose work depends on high-fidelity, verifiable information. If you use multiple AI agents to gather data, write reports, or analyze research, you need this capability. It acts as a safety net, ensuring that the conclusions you draw aren't based on a single agent's mistake or fabrication.

  • 01

    Research Analyst

    Hands off multiple source summaries to the MCP to calculate fact consistency scores before writing a report.

  • 02

    Technical Writer

    Uses the MCP to check for contradictions between different drafts generated by various AI agents.

  • 03

    Compliance Officer

    Runs the capability to audit agent outputs, ensuring that all stated facts have valid sources and consensus.

FAQ

Questions Agent Hallucination Cross-Checker owners ask.

  • 01

    What is the difference between consensus and agreement depth?

    Consensus verifies the overall reliability of the outputs using consistency and source metrics. Agreement depth is more granular; it tells you if the agents are in total agreement, only partially aligned, or if they contradict each other.

  • 02

    Can this MCP detect if an agent is lying?

    It doesn't detect intent, but it detects the output. It identifies specific claims that are likely hallucinations based on probabilistic modeling and contradiction detection.

  • 03

    Do I need to provide sources for the agents' claims?

    Yes. The MCP uses source validity and confidence metrics. Providing sources allows it to calculate the overall reliability score accurately.

  • 04

    What kind of data does this MCP audit?

    It audits textual claims provided by multiple agents. It focuses on measuring semantic contradictions and factual consistency scores.

  • 05

    Is this MCP compatible with all AI clients?

    Yes. Because it's hosted on Vinkius, you connect it once from any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

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