leadenrich mcp for Gemini CLI
io.github.carsonroell-debug/leadenrich-mcp
Waterfall lead enrichment — cascades Apollo, Clearbit, and Hunter for max coverage
client:Gemini CLI
transport:stdio
runtime:pypi
Install leadenrich mcp in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"leadenrich-mcp": {
"command": "uvx",
"args": [
"leadenrich-mcp"
],
"env": {
"APOLLO_API_KEY": "<APOLLO_API_KEY>",
"CLEARBIT_API_KEY": "<CLEARBIT_API_KEY>",
"HUNTER_API_KEY": "<HUNTER_API_KEY>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs