How to Use the Hallucination Detector Prover MCP in Cursor

Force Cursor to cite real documentation. Eliminate fabricated APIs and hallucinated code libraries instantly.

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Connect Hallucination Detector Prover MCP to Cursor

Create your Vinkius account to connect Hallucination Detector Prover to Cursor 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 Cursor

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Claude

Perplexity

Stop hallucinated API calls in Cursor

The `validate_hallucination_grounding` tool audits the code your agent writes to ensure every referenced library, method, and API endpoint actually exists. When Cursor suggests a new package, this tool forces it to cite the exact documentation URL, version number, and author. If the endpoint is a hallucination, the tool blocks the suggestion. Developers waste hours debugging code that looks correct but calls methods that never existed. This validation step shifts the burden of proof back to the AI. It must explicitly label which parts of the code are based on verified documentation and which parts are subjective architectural opinions.

Measure evidence quality for MCP Server outputs

Calling `validate_hallucination_grounding` forces the model to assign a confidence score to its technical recommendations based on source quality. Official documentation or verified GitHub issues score high, while random Stack Overflow comments from 2014 score low. You see exactly why the agent chose a specific implementation. The tool also demands strict knowledge boundaries. If Cursor does not have access to a specific private repository or if its training data predates a framework's major release, it must state that limitation. You stop getting plausible-sounding garbage for brand-new tech stacks.

Cross-reference complex architectural proposals

The `validate_hallucination_grounding` tool scans multi-file code generations for internal logical contradictions. If the agent defines a database schema in one file but writes a conflicting query in another, the tool catches the mismatch immediately. This acts as an automated code reviewer that specifically targets the LLM's short-term memory failures. It forces the agent to reconcile its own logic before presenting the final code block in your editor. You get consistent, verified output across your entire project.

Setup guide

Set up Hallucination Detector Prover MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Hallucination Detector Prover MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Hallucination Detector Prover transactions." If the MCP tools are loaded correctly, Cursor will call the Hallucination Detector Prover tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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 Cursor

Create a mcp.json file in your project root or your global directory. Add the MCP server configuration under the mcpServers key, then enable Agent mode in the chat panel to start verifying code.

Yes, slightly. Forcing the model to run validation checks and cite specific documentation adds a small latency overhead to each response. The trade-off is that you spend zero time debugging fabricated API endpoints.

The MCP server only validates the text and code actively generated by the model during your current session. It does not scan your existing repository for human-written bugs or architectural flaws.

The tool rejects the model's initial draft and forces it to rewrite the response using only verifiable facts. You will see the agent correct itself in real-time, replacing fake methods with actual, cited documentation.

The server reads the proposed code snippets and technical explanations generated by the model. Vinkius processes these strings within a zero-trust, isolated environment that self-destructs after the validation cycle. Your proprietary logic is never stored, logged, or used for training.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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