How does this MCP stop hallucinations?

It doesn't stop the model from thinking incorrectly, but it forces the agent to perform a structured check that requires specific evidence, confidence levels, and fact-opinion labeling for every claim.

What is a 'SOURCE_MISSING' error?

This occurs when the agent makes a factual claim without providing a specific, verifiable citation like an author, date, or DOI.

Can I use this with Cursor or Claude?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

What does 'CONFIDENCE_UNCALIBRATED' mean?

It means the agent is using absolute language for a claim that is actually uncertain or based on weak evidence.

Does this MCP host the data?

Vinkius hosts and manages the MCP, so you don't need to run it locally or manage your own credentials.

What counts as a verifiable source?

Author or organization, publication name, date, and DOI or URL. 'Studies show' is rejected. 'Smith et al., Nature 2024, doi:10.1038/...' is accepted.

How does confidence calibration work?

The engine requires per-claim confidence with evidence quality: '90% confident (3 peer-reviewed sources)' instead of 'definitely' or '100% certain'.

Can it detect self-contradictions?

Yes. It rejects circular self-validation like 'as I said' and demands explicit cross-referencing by paragraph and claim number.

An astronaut overseeing a futuristic data hub

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Connect Hallucination Detector Prover to ChatGPT and Claude

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. Stop your AI from presenting fiction as fact.

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.

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.

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Hallucination Detector Prover.

01
Validate hallucination grounding
This capability forces your AI client to perform structured reflection by requiring source attribution, confidence calibration, and fact-opinion separation for every claim. It catches errors like missing citations, uncalibrated certainty, and internal contradictions within a single call.

Real work

What teams actually run

Report Auditing

Run the MCP against a long generated report to find where the agent lacks citations.

Fact-Checking Research

Use the capability to verify if an agent's summary of a scientific paper is actually grounded in the text.

Bias Detection

Catch instances where the agent presents a subjective preference as an objective truth.

Technical Verification

Ensure API or software claims are within the agent's actual knowledge boundaries.

Automate a task

Put Hallucination Detector Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Hallucination Detector Prover 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.

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

You don't need a client to put Hallucination Detector Prover 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

887ms average. Fast in production.

Hallucination Detector Prover is checked daily against the live service.

Daily averagePeak 1163ms

Oct 3Today

Fastest day: 737ms
Slowest day: 1163ms
14-day trend: Stable-4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Hallucination Detector Prover, so you can see the experience inside your AI.

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

Hallucination Detector Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_vDQP8rsjOjnTGJSK3m5NZIgbd5iLRTOGta25N4jN/mcp

Claude 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 — Hallucination Detector Prover capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "hallucination-detector-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vDQP8rsjOjnTGJSK3m5NZIgbd5iLRTOGta25N4jN/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 Hallucination Detector Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Hallucination Detector Prover owners hand off.

This MCP is built for professionals who cannot afford to act on unverified AI outputs.

01
Data Analysts
Verifying that statistical claims in generated reports are backed by specific datasets.
02
Technical Writers
Ensuring documentation remains factually accurate and free of subjective bias.
03
Researchers
Auditing AI-generated summaries to ensure they don't hallucinate citations or data.

FAQ

Questions Hallucination Detector Prover owners ask.

01
How does this MCP stop hallucinations?
It doesn't stop the model from thinking incorrectly, but it forces the agent to perform a structured check that requires specific evidence, confidence levels, and fact-opinion labeling for every claim.
02
What is a 'SOURCE_MISSING' error?
This occurs when the agent makes a factual claim without providing a specific, verifiable citation like an author, date, or DOI.
03
Can I use this with Cursor or Claude?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
04
What does 'CONFIDENCE_UNCALIBRATED' mean?
It means the agent is using absolute language for a claim that is actually uncertain or based on weak evidence.
05
Does this MCP host the data?
Vinkius hosts and manages the MCP, so you don't need to run it locally or manage your own credentials.
06
What counts as a verifiable source?
Author or organization, publication name, date, and DOI or URL. 'Studies show' is rejected. 'Smith et al., Nature 2024, doi:10.1038/...' is accepted.
07
How does confidence calibration work?
The engine requires per-claim confidence with evidence quality: '90% confident (3 peer-reviewed sources)' instead of 'definitely' or '100% certain'.
08
Can it detect self-contradictions?
Yes. It rejects circular self-validation like 'as I said' and demands explicit cross-referencing by paragraph and claim number.

Explore

More in Productivity

Connect Hallucination Detector Prover to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01

Validate hallucination grounding

What teams actually run

Report Auditing

Fact-Checking Research

Bias Detection

Technical Verification

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

Hallucination Detector Prover Connector

Claude Desktop

Data Analysts

Technical Writers

Researchers

How does this MCP stop hallucinations?

What is a 'SOURCE_MISSING' error?

Can I use this with Cursor or Claude?

What does 'CONFIDENCE_UNCALIBRATED' mean?

Does this MCP host the data?

What counts as a verifiable source?

How does confidence calibration work?

Can it detect self-contradictions?

Yakunashi-Safety Gate AI Connector

Journalistic Reasoning Prover AI Connector

Critical Thinking Prover AI Connector

Counterfactual-Variant Prover AI Connector

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