# vet-mcp

> vet-mcp — dev55acc-ai-vet-mcp. Use this tool when you need to verify contact data for AI agents, such as emails, phone numbers, and domains, over the MCP protocol. It solves problems related to data accuracy and validation, providing a hosted and metered solution for reliable contact information. Ideal for use cases requiring precise data verification, with input capabilities via git and output of validated contact data.

Canonical page: https://skillsregistry.net/skills/dev55acc-ai-vet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dev55acc-ai-vet-mcp

## Description

Contact-data verification for AI agents over MCP: email, phone, domain. Hosted, metered.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/dev55acc-ai/vet-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": "dev55acc-ai-vet-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev55acc-ai-vet-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev55acc-ai-vet-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