How to Use the Hallucination Detector Prover MCP in VS Code Copilot

Enforce team-wide epistemic rigor. Stop VS Code Copilot from inventing facts and fake dependencies.

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Connect Hallucination Detector Prover MCP to VS Code Copilot

Create your Vinkius account to connect Hallucination Detector Prover to VS Code Copilot 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 VS Code Copilot

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Claude

Perplexity

Demand proof for every Copilot suggestion

The `validate_hallucination_grounding` tool intercepts your AI client's output and demands hard proof for every technical claim. When Copilot suggests a specific architectural pattern or library, it must provide a verifiable source, complete with author and date. Generic claims like "industry standard" are rejected; exact citations are required. This completely changes how engineering teams interact with AI. Instead of blindly trusting a generated script, developers see exactly which claims are backed by official documentation and which are just the model's subjective opinions. You merge code with actual confidence.

Calibrate team-wide MCP Server confidence

Executing `validate_hallucination_grounding` forces the model to score its own certainty based purely on evidence quality. A solution backed by official Microsoft documentation gets a high score, while an approach scraped from an outdated forum gets flagged. You never have to guess if the AI is guessing. The server also forces the agent to declare its knowledge boundaries. If a developer asks about an internal API that the model cannot see, the tool forces it to admit ignorance rather than hallucinating a response. This prevents junior developers from acting on fabricated technical advice.

Eliminate contradictory code generation

The `validate_hallucination_grounding` tool cross-references long Copilot explanations to find logical inconsistencies. If the model claims a function is asynchronous in the summary but writes synchronous code in the block, the tool flags the contradiction. This acts as a strict compiler for the model's own reasoning. By forcing the agent to resolve its internal conflicts before rendering the final text, your team spends less time fixing stupid AI mistakes. The output becomes reliable enough for enterprise production environments.

Setup guide

Set up Hallucination Detector Prover MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Hallucination Detector Prover MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Hallucination Detector Prover tools listed. Try asking: "List my recent Hallucination Detector Prover transactions" and Copilot will invoke them automatically.

.vscode/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 VS Code Copilot

Create a mcp.json file in your repository root and commit it to version control. Every developer who clones the repo will automatically get this MCP server when using Copilot in Agent mode.

It blocks the model from presenting unverified technical claims as facts. If the agent tries to use a library without citing its documentation, the tool forces a rewrite until the citations meet the required standard.

The tool detected an internal contradiction, an uncalibrated confidence score, or a missing source citation. It forces the model to fix these epistemic errors before delivering the final response to your editor.

Yes. You can toggle the tool off in your Copilot chat settings if you just need quick brainstorming or boilerplate code where strict factual attribution does not matter.

The server only processes the text and code blocks generated by the model during active validation requests. Vinkius handles this data inside an ephemeral sandbox that is destroyed immediately after execution. We maintain strict zero-trust architecture with no persistent storage of your intellectual property.

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