How does this MCP detect hallucinations?

It looks for factual contradictions. If multiple responses to the same prompt contain conflicting dates, numbers, or entities, the MCP flags them as inconsistencies.

Which AI clients can I use this with?

You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Do I need to host this myself?

No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

Can it check for more than just dates?

Yes. It extracts and compares various types of assertions, including numbers, entities, and logical statements.

Is this a directory of capabilities?

No. Vinkius is a hosted platform where these MCPs are ready to run immediately upon connection.

How does the consistency score work?

The score is calculated by subtracting the ratio of unique contradictions to the total number of extracted claims from 1.0. A score of 1.0 means perfect agreement.

What can I do with analyze_consistency?

You can use analyze_consistency to pass a list of multiple LLM responses and receive a report containing a consistency score and indices of suspect responses.

Can I customize the strictness of the detection?

Yes, you can provide a custom threshold value to analyze_consistency to define when a set of responses should be flagged as inconsistent.

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Connect Hallucination Detector Via Consistency 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. Catch factual contradictions in your AI's responses.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Hallucination Detector.

01
Extract claims
This capability breaks down a block of text into a list of individual factual assertions.
02
Analyze consistency
This capability evaluates a group of LLM responses to see if they agree on the facts.
03
Find contradictions
This capability compares different sets of claims to pinpoint exactly where logical conflicts exist.

Real work

What teams actually run

Automated Fact-Checking

Run multiple queries through an agent and use this MCP to ensure the answers remain stable.

Data Extraction Validation

Verify that an agent extracting data from a PDF isn't changing numbers between runs.

Report Auditing

Check long AI-generated documents for internal logical conflicts.

Agent Reliability Testing

Test how consistent an agent is when asked the same question in different ways.

One connector, every AI

Hallucination Detector 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 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

905ms average. Fast in production.

Hallucination Detector is checked daily against the live service.

Daily averagePeak 1057ms

Oct 3Today

Fastest day: 829ms
Slowest day: 1057ms
14-day trend: Improving-7%

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 Hallucination Detector, so you can see the experience inside your AI.

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

Hallucination Detector Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_hkgY7Z5J8UbQd7NqclEuQsXU1SpnqkJ6HHDo9KPz/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 capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "hallucination-detector-via-consistency-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hkgY7Z5J8UbQd7NqclEuQsXU1SpnqkJ6HHDo9KPz/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 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Hallucination Detector owners hand off.

This is for anyone building or using AI agents where factual accuracy is non-negotiable.

01
AI Developers
They use this to build validation loops into their agentic workflows.
02
Data Analysts
They hand off large sets of AI-generated summaries to this MCP to check for data integrity.
03
Content Editors
They use it to verify that AI-generated reports don't contradict themselves.

FAQ

Questions Hallucination Detector owners ask.

01
How does this MCP detect hallucinations?
It looks for factual contradictions. If multiple responses to the same prompt contain conflicting dates, numbers, or entities, the MCP flags them as inconsistencies.
02
Which AI clients can I use this with?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
03
Do I need to host this myself?
No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.
04
Can it check for more than just dates?
Yes. It extracts and compares various types of assertions, including numbers, entities, and logical statements.
05
Is this a directory of capabilities?
No. Vinkius is a hosted platform where these MCPs are ready to run immediately upon connection.
06
How does the consistency score work?
The score is calculated by subtracting the ratio of unique contradictions to the total number of extracted claims from 1.0. A score of 1.0 means perfect agreement.
07
What can I do with analyze_consistency?
You can use analyze_consistency to pass a list of multiple LLM responses and receive a report containing a consistency score and indices of suspect responses.
08
Can I customize the strictness of the detection?
Yes, you can provide a custom threshold value to analyze_consistency to define when a set of responses should be flagged as inconsistent.

Explore

More in Reliability

Connect Hallucination Detector 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.

01-03

Extract claims

Analyze consistency

Find contradictions

What teams actually run

Automated Fact-Checking

Data Extraction Validation

Report Auditing

Agent Reliability Testing

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

Hallucination Detector Connector

Claude Desktop

AI Developers

Data Analysts

Content Editors

How does this MCP detect hallucinations?

Which AI clients can I use this with?

Do I need to host this myself?

Can it check for more than just dates?

Is this a directory of capabilities?

How does the consistency score work?

What can I do with analyze_consistency?

Can I customize the strictness of the detection?

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