25 enrichment tools for AI agents
The Enrich Layer MCP server gives AI coding assistants and agents direct access to company, person, and contact enrichment tools. Works with any client that supports the Model Context Protocol.
npx @enrichlayer/mcp-serverRequires Node.js 18+ and an Enrich Layer API key.
.mcp.json
{
"mcpServers": {
"enrich-layer": {
"command": "npx",
"args": ["-y", "@enrichlayer/mcp-server"],
"env": {
"ENRICH_LAYER_API_KEY": "your_api_key"
}
}
}
}.cursor/mcp.json
{
"mcpServers": {
"enrich-layer": {
"command": "npx",
"args": ["-y", "@enrichlayer/mcp-server"],
"env": {
"ENRICH_LAYER_API_KEY": "your_api_key"
}
}
}
}.vscode/mcp.json
{
"servers": {
"enrich-layer": {
"command": "npx",
"args": ["-y", "@enrichlayer/mcp-server"],
"env": {
"ENRICH_LAYER_API_KEY": "your_api_key"
}
}
}
}Ask your AI to research a company and find decision-makers — it calls the enrichment tools automatically.
Build an agent that watches for new CRM records, enriches them, and updates fields in real time.
Track employee counts, funding rounds, and hiring patterns at target companies over time.
Find work emails and personal contacts for prospects using name + company lookups.