Ground Truth

by anish632

282 downloads
Not rated
GitHub

About

Validate AI claims against live data: check endpoints, count competitors, test hypotheses.

Details

Author
anish632
Downloads
282
Categories
Other, API

- Probes URLs and API endpoints for accessibility and structure
- Counts packages on npm and PyPI to gauge competition
- Tests factual claims with pass/fail verdicts against live checks
- Returns response time, auth requirements, and rate-limit headers
- Summarizes response content (e.g., structural summary of APIs)

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Ground Truth
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Connect any MCP client to the URL https://ground-truth-mcp.anishdasmail.workers.dev/mcp via Streamable HTTP transport. For quick testing, use MCP Inspector (npx @modelcontextprotocol/inspector@latest), or add a ground-truth entry to your Claude Desktop configuration.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "ground truth": {
            "ground-truth": {
                "url": "https://ground-truth-mcp.anishdasmail.workers.dev/mcp",
                "transport": "streamable-http"
            }
        }
    }
}

McpServers

{
    "ground-truth": {
        "url": "https://ground-truth-mcp.anishdasmail.workers.dev/mcp",
        "transport": "streamable-http"
    }
}

Ground Truth MCP Server

<a href="https://glama.ai/mcp/servers/@anish632/ground-truth-mcp">Ground Truth MCP server</a>

Validate AI claims against live data.

An MCP server that lets AI agents fact-check their own research in real time — probing endpoints, counting competitors, and testing hypotheses against live registries instead of guessing.

Origin

This tool was born from an AI agent catching itself giving bad advice. During a research conversation about MCP business opportunities, the agent recommended building products based on claims like "competition is low" and "this API is freely available" — then built a prototype to test those claims and discovered several were wrong. Competitors it said didn't exist already had packages on npm. An API it recommended building on top of couldn't even be reached.

Ground Truth is the tool that conversation needed.

Tools

check_endpoint

Probe a URL or API endpoint. Returns HTTP status, content type, response time, auth requirements, rate limit headers, and a structural summary of the response.
"Is this API actually accessible, or am I recommending something that doesn't work?"

estimate_market

Count packages/servers in a space on npm or PyPI. Returns total count, top results with version history and update dates, and activity signals.
"I'm about to say 'competition is low' — is that actually true?"

test_hypothesis

Test a factual claim against multiple live checks. Returns pass/fail per test and an overall verdict: SUPPORTED, REFUTED, or PARTIALLY SUPPORTED.
"Before I present this conclusion, let me verify it."

Connect

MCP Inspector (quickest test)

```bash npx @modelcontextprotocol/inspector@latest
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