Pearch.ai MCP
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.
Evaluating AI Recruitment Sourcing Tools by Human Preference
Features
- search_people — natural-language search for people (e.g. “software engineers in California with 5+ years Python”); returns candidates with optional insights and profile scoring.
- search_company_leads — find companies and leads/contacts within them (B2B); e.g. “AI startups in SF, 50–200 employees” + “CTOs and engineering managers”.
- Test key by default — works out of the box with
test_mcp_key(masked/sample results); set your own key for full results.
Prerequisites
- Python 3.10+
- uv (recommended; Linux/macOS:
curl -LsSf https://astral.sh/uv/install.sh | sh) or pip - FastMCP — install with
pip install fastmcporuv add fastmcp
API key
Use test_mcp_key for masked (sample) results — no sign-up required.
For full, unmasked results, get an API key from the Pearch.ai Dashboard and set it as PEARCH_API_KEY in your MCP config (see Installation below).
