Pearch-ai/mcp_pearch
by Various
The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.
MCP
Pearch-ai/mcp_pearch
Added 1 June 2026
Overview
Pearch-ai/mcp_pearch is a people search API and MCP server that accepts natural language queries and returns high-quality candidate profiles. It is designed for integration with Applicant Tracking Systems (ATS) and AI agents to automate candidate sourcing.
Best for
Best for
Developers building AI agents or ATS integrations that need automated people search
Use cases
- Search for candidates using natural language job descriptions
- Integrate with an ATS to enrich candidate pipelines
- Power an AI agent to find and rank potential hires
Notes
Pearch-ai/mcp_pearch is a people search API and MCP server that accepts natural language queries and returns high-quality candidate profiles. It is designed for integration with Applicant Tracking Systems (ATS) and AI agents to automate candidate sourcing.
7 stars on GitHub. Last updated 2026-05-18. Licensed MIT.
Use cases
- Search for candidates using natural language job descriptions
- Integrate with an ATS to enrich candidate pipelines
- Power an AI agent to find and rank potential hires
Pros
- Natural language input reduces query complexity
- Claims high accuracy in candidate matching
- Built specifically for ATS and AI agent workflows
Cons
- Low GitHub star count (7) suggests early-stage or limited adoption
- Requires MCP-compatible environment or API integration
- No evidence of support for non-people-search use cases
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Natural language input reduces query complexity
- Claims high accuracy in candidate matching
- Built specifically for ATS and AI agent workflows
Cons
- Low GitHub star count (7) suggests early-stage or limited adoption
- Requires MCP-compatible environment or API integration
- No evidence of support for non-people-search use cases
Pairs with
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