# LeadEnrich MCP Server

> Use this tool when you need to enrich lead data with comprehensive profiles, solving the problem of incomplete or inaccurate lead information. It takes in partial lead data as input and outputs complete profiles via a single API call, cascading through multiple data sources like Apollo, Clearbit, and Hunter. Ideal for use cases requiring rapid and accurate lead qualification, such as sales automation and marketing workflows.

Canonical page: https://skillsregistry.net/skills/carsonroell-debug-leadenrich-mcp  
JSON: https://api.skillsregistry.net/v1/skills/carsonroell-debug-leadenrich-mcp

## Description

Waterfall lead enrichment for AI agents, cascading through Apollo, Clearbit, and Hunter to build complete lead profiles in a single call via MCP.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/opigbr4lv7)
- **Repository:** <https://github.com/carsonlabs/leadenrich-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": "carsonroell-debug-leadenrich-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carsonroell-debug-leadenrich-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carsonroell-debug-leadenrich-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