# Enrich Layer MCP Server

> Use this tool when you need to enhance and validate company, person, and job data through a suite of 25 enrichment tools. It solves problems related to data accuracy, contact discovery, and profile completion by providing lookups and profiles via the Enrich Layer API. Ideal for use cases requiring robust data enrichment, it accepts input data and returns enriched profiles and contacts.

Canonical page: https://skillsregistry.net/skills/enrichlayer-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/enrichlayer-mcp-server

## Description

Provides 25 tools to enrich company, person, contact, school, and job data via the Enrich Layer API, enabling lookups, profiles, and contact discovery.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tx9qb3ceq8)
- **Repository:** <https://github.com/enrichlayer/mcp-server>

## 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": "enrichlayer-mcp-server"
    }
  }
}
```

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

---
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