Best people search engine that reduces the time spent on talent discovery.
Best people search engine that reduces the time spent on talent discovery. Exposed over MCP by the pearch mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
MCP server for Pearch.AI: natural-language search over people and companies/leads (B2B). Use it from Cursor, Claude Desktop, VS Code, or any MCP-compatible client.
Everything the assistant can do here goes through one of these:
search_people — Natural-language search for people or follow-up on a thread. Example: "software engineers in California with 5+ years Python", *"senior MLsearch_company_leads — Find companies and leads/contacts (B2B). Example: company "AI startups in SF, 50–200 employees" + leads "CTOs and engineering managers"Cursor — Replace test_mcp_key with your dashboard key for full resultsBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 2 environment variables: PEARCH_API_KEY, PEARCH_API_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
curl -LsSf https://astral.sh/uv/install.sh | sh) or pip - FastMCP — install with pip install fastmcp or uv add fastmcpPlenty of search and retrieval servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Pearch's toolset — search_people, search_company_leads, Cursor — is a fair guide to whether it matches your workflow.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| search_people | Natural-language search for people or follow-up on a thread. Example: *"software engineers in California with 5+ years Python"*, *"senior ML researchers in Berlin"*. |
| search_company_leads | Find companies and leads/contacts (B2B). Example: company *"AI startups in SF, 50–200 employees"* + leads *"CTOs and engineering managers"*. |
| Cursor | Replace test_mcp_key with your dashboard key for full results. |
{
"mcpServers": {
"pearch": {
"command": "uvx",
"args": ["fastmcp"],
"env": {
"PEARCH_API_KEY": "your-value",
"PEARCH_API_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
curl -LsSf https://astral.sh/uv/install.sh | sh) or pip - FastMCP — install with pip install fastmcp or uv add fastmcp| Variable | Description | Required |
|---|---|---|
| PEARCH_API_KEY | Credential the server authenticates with. | Yes |
| PEARCH_API_URL | Endpoint or connection string the server talks to. | Yes |
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