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Connect Agent Hallucination Cross-Checker to your AI

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. Get a reliable consensus score on agent claims.

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

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.

A futuristic MCP client docking bay
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 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

Real work

What teams actually run

01

Cross-Checking Legal Summaries

You run three different agents on a legal document. This MCP tells you if they contradict each other on key definitions or dates.

02

Academic Literature Review

Multiple agents summarize research papers. You use the MCP to verify if all agents agree on the primary findings or if there are conflicting theories.

03

Market Trend Analysis

You feed the MCP outputs from agents tracking different market sectors. It verifies if the consensus on growth rates is consistent across all sources.

04

Internal Policy Drafting

When multiple departments use AI to draft policy sections, this MCP checks for semantic contradictions to ensure the final document is cohesive.

One connector, every AI

Agent Hallucination Cross-Checker 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Agent Hallucination Cross-Checker 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

896ms average. Fast in production.

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

Daily averagePeak 1131ms
Oct 3Today
Fastest day
674ms
Slowest day
1131ms
14-day trend
Stable+3%

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

Guided setup for Claude? Set up Agent Hallucination Cross-Checker in Claude and other AIs

See all the AI clients this connector works with ↑

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.

  • 06

    How does the engine detect hallucinations?

    The engine calculates a hallucination probability for each claim by analyzing source validity, cross-agent agreement, and confidence calibration.

  • 07

    What is a verification quorum?

    A verification quorum is the minimum number of independent agents that must agree on a single fact before it is considered verified.

  • 08

    Can it distinguish between partial agreement and contradictions?

    Yes, using analyze_agreement_depth, the engine can distinguish between total agreement, partial agreement (same entity, different attributes), and semantic contradictions.

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