# Enrow MCP Server

> Use this tool when you need to verify professional contact information, such as emails and phone numbers, to enhance data accuracy and enable targeted communication. It solves problems related to outdated or incorrect contact data by providing access to the Enrow API for AI assistants. The tool takes in queries and returns verified contact information, making it ideal for use cases requiring accurate professional networking data.

Canonical page: https://skillsregistry.net/skills/enrowapi-enrow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/enrowapi-enrow-mcp

## Description

Enables AI assistants to find and verify professional emails and phone numbers via the Enrow API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## 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/n08up4r38u)
- **Repository:** <https://github.com/EnrowAPI/enrow-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": "enrowapi-enrow-mcp"
    }
  }
}
```

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