• GROUNDED
  • UNBOUND
  • SOURCE
  • HUMAN

How to verify AI research summaries with your AI

Connect this MCP to your AI client to stop hallucinations. It forces your agent to anchor every claim to a specific source.

Ask AI about this page

Short answer

How can I make sure my AI isn't making up research facts?

Use the Hallucination Detector Prover to force your AI to cross-reference its summary against the source text. It checks for specific author, publication, and DOI attributions to ensure every sentence is grounded. You'll see exactly where the AI is sticking to the facts and where it's drifting.

The verification outcomes.

Where every claim lands.

The AI processes your summary and the source text to produce these results.

GROUNDED

Verified claims

The AI identifies which parts of the summary are directly supported by the source. You get a list of confirmed facts tied to the original text.

UNBOUND

Hallucination alerts

The AI flags any sentence that lacks a direct link to the source. These are the specific points where your agent is guessing.

SOURCE

Attribution check

The AI verifies that the author, publication, and DOI match the source. This ensures the citations aren't just plausible, but actually correct.

HUMAN

Manual review

The AI highlights the specific text segments that need your eyes. You decide whether to keep, edit, or discard the flagged claims.

The workflow

What your AI does when the summary arrives.

The AI shifts from generating text to auditing it against the raw data.

  1. Source mapping

    The AI scans the provided source text to build a map of verifiable facts. It prepares to compare these against your summary.

    validate_hallucination_grounding

  2. Claim comparison

    The AI compares every sentence in your summary to the source map. It looks for discrepancies in data, names, or findings.

    validate_hallucination_grounding

  3. Citation audit

    The AI checks that the author, publication, and DOI are present and accurate. It ensures the summary isn't using fake metadata.

    validate_hallucination_grounding

  4. Error flagging

    The AI marks every hallucination or ungrounded claim. It provides a clear report of what is real and what is invented.

    validate_hallucination_grounding

Try it

Copy these to start.

Use these prompts to trigger the verification process.

Starting points

Swap the bracketed text for your actual research papers or summaries.

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.

  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 — 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"
    }
  }
}
Copy into chat04

  • Verify this research summary against the attached PDF for any hallucinations.

  • Check if the author and DOI in this summary match the source text provided.

  • Audit this summary and flag any claims that aren't explicitly stated in the source document.

  • Cross-reference this summary with the provided publication data to ensure grounding.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Hallucination Detector Prover once, then ask.

Just connect the MCP to your client. Your credentials stay encrypted, and you can start auditing research immediately.

Connect Hallucination Detector Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI fix the hallucinations automatically?

    No. The AI identifies and flags the errors, but you must manually review and correct the text.

  • 02

    Does this work with any research paper?

    Yes, as long as you provide the source text for the AI to check against.

  • 03

    Will the AI change my original source document?

    No. The AI only reads the source to verify the summary; it never modifies your files.

  • 04

    How does it know if a DOI is fake?

    It compares the DOI mentioned in the summary against the DOI found in the source text.

  • 05

    Can I use this to write new research?

    No. This tool is for auditing and verifying existing summaries, not for generating new research content.

  • More questions about Hallucination Detector Prover? The Connector page answers them. See everything the Hallucination Detector Prover Connector can do

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