# findymail-mcp

> Use this tool when you need to find and verify email addresses, or enrich contact information through natural language inputs. It solves problems related to email discovery, validation, and contact management, and provides outputs such as verified email addresses and company information. It is ideal for use cases involving sales research, marketing automation, and customer outreach, accepting natural language queries as inputs.

Canonical page: https://skillsregistry.net/skills/drewster93-findymail-mcp  
JSON: https://api.skillsregistry.net/v1/skills/drewster93-findymail-mcp

## Description

Wraps the Findymail API to enable email finding, verification, and enrichment through natural language, including contact management and company search.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lxega8vlpk)
- **Repository:** <https://github.com/Drewster93/findymail-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": "drewster93-findymail-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drewster93-findymail-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drewster93-findymail-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