How to Use the Hallucination Detector Prover MCP in Claude

Stop Claude Desktop from making things up. Force epistemic rigor and cite verifiable sources directly inside your chat.

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Connect Hallucination Detector Prover MCP to Claude Desktop

Create your Vinkius account to connect Hallucination Detector Prover to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Hallucination Detector Prover with Claude Desktop

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Claude

Perplexity

Ground Claude Desktop responses in reality

The `validate_hallucination_grounding` tool forces your AI client to back up every single factual claim with a verifiable source. You stop getting vague phrases like "studies show" and start getting exact citations with authors, publication dates, and DOIs. If Claude cannot find the source in your local files or provided context, the tool rejects the claim entirely. This mechanism kills the standard LLM habit of filling gaps with plausible fiction. Your agent must explicitly label every statement as either a verifiable fact or a subjective opinion. When you ask for technical specs or financial data, you know exactly where the numbers came from.

Calibrate confidence scores across your MCP Server

Running `validate_hallucination_grounding` requires the model to score its own certainty based on the actual quality of the evidence. A peer-reviewed paper gets a high confidence score, while a random blog post gets flagged as low-quality evidence. You never see claims of absolute certainty again because that represents epistemic overreach. The system also forces the model to declare its knowledge boundaries upfront. If the training data cuts off before your requested date, or if it lacks access to specific domains, the tool makes the agent state those limitations before answering. You get honest answers about what the model actually knows.

Catch internal contradictions automatically

The `validate_hallucination_grounding` tool cross-references every paragraph generated by your agent to find logical inconsistencies. If paragraph two claims a latency of 50ms and paragraph six claims 200ms, the tool catches the error before you ever read it. This continuous verification loop happens in the background while you chat. It treats the LLM's output as hostile text that needs auditing. You spend less time proofreading Claude's work because the MCP server handles the fact-checking automatically.

Setup guide

Set up Hallucination Detector Prover MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Hallucination Detector Prover MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Hallucination Detector Prover MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under hallucination-detector-prover-mcp.

json

{
  "mcpServers": {
    "hallucination-detector-prover-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hallucination Detector Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Hallucination Detector Prover MCP in Claude Desktop

Open Settings, go to Developer, and click Edit Config to open your config file. Add the MCP server details under the mcpServers key, save the file, and restart the app. You can also paste the remote URL directly into Claude Web via Settings.

Yes. The server rejects claims that lack specific citations like DOIs or publication dates. If the model tries to use phrases like "experts agree," the tool blocks the output until actual evidence is provided.

The tool caught an internal contradiction or an uncalibrated confidence score in the model's drafted response. It forces the agent to rewrite the text, separate facts from opinions, and explicitly state its knowledge boundaries before showing you the final answer.

You can, but you probably should not. This tool enforces strict factual attribution and penalizes unverified claims, which actively conflicts with fiction or brainstorming workflows. Keep it disabled unless you need strict factual accuracy.

The server processes the raw text generated by your AI client to check for internal contradictions and missing citations. Vinkius runs this validation inside an ephemeral V8 Isolate sandbox that vanishes the moment the check completes. No conversation logs persist anywhere on our infrastructure.

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