# parse-mcp

> Use this tool when you need to research AI brand visibility and analyze dataset statistics across multiple AI platforms. It solves problems related to brand monitoring, AI model comparison, and data insight gathering by providing a comprehensive index of brands, prompts, and dataset stats. The tool takes search queries as input and returns relevant data and statistics as output, making it ideal for use cases requiring in-depth AI brand research and analysis.

Canonical page: https://skillsregistry.net/skills/dimitry-parse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dimitry-parse-mcp

## Description

Hosted MCP server for AI brand visibility research. Search brands, prompts, and dataset stats across Parse's AI visibility index covering ChatGPT, Google AI Overviews, Perplexity, Copilot, and more.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/dimitry/parse-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": "dimitry-parse-mcp"
    }
  }
}
```

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