# groundlens-deprecated

> Use this tool when you need to detect hallucinations in AI responses and ensure they are grounded in source material. It solves problems of inaccurate or fabricated information by assessing response validity and providing tools for pattern evaluation. The groundlens-mcp tool takes AI-generated text as input and outputs a validity assessment, helping you identify trustworthy responses in various applications.

Canonical page: https://skillsregistry.net/skills/groundlens-dev-groundlens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/groundlens-dev-groundlens-mcp

## Description

Enables hallucination detection for AI assistants by providing tools to assess whether responses are grounded in source material or follow grounded patterns.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uamk23ov2p)
- **Repository:** <https://github.com/groundlens-dev/groundlens-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "groundlens-dev-groundlens-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/groundlens-dev-groundlens-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/groundlens-dev-groundlens-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt