HeroHunt.ai MCP (People Search API)

Name: HeroHunt.ai MCP (People Search API)
Author: herohunt-ai

@herohunt-ai

关于 HeroHunt.ai MCP (People Search API)

People search API - find 1 billion candidates across LinkedIn and GitHub with real-time data. Search with natural language, enrich profiles with verified emails and phone numbers. Works with Claude, Cursor, ChatGPT Desktop, and any MCP-compatible AI agent.

#people #search #recruitment #recruit #linkedin #talent #sourcing #enrichment

基本信息

分类

开发工具

传输方式

stdio

发布者

herohunt-ai

提交者

Yuma Heymans

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "herohunt-people-search": {
      "command": "npx",
      "args": [
        "-y",
        "herohunt-mcp"
      ],
      "env": {
        "HEROHUNT_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

工具

Search for people profiles using natural language across LinkedIn, GitHub, and StackOverflow. Credits: 1 per reserved slot up front (default maxResults=100). Enrichment: +1 credit per LinkedIn profile with contact info.

Fetch additional pages for an existing search. Free unless enrich is enabled.

Get plan, total/used/remaining credits, rate limit, and next credit reset date. Free.

List past searches with first-page profiles. Free.

Get a dashboard URL prefilled with account email for plan upgrades. Free.

Get Stripe Customer Portal URL for managing subscriptions. Free.

List API key prefixes, scopes, and last-used timestamps.

Create a new API key. Full key is returned only once. Store it immediately.

Rotate an API key: deactivate old, issue new with same scopes.

Permanently revoke an API key. Irreversible.

概览

What is HeroHunt.ai MCP (People Search API)?

HeroHunt.ai MCP (People Search API) is an MCP server that lets any MCP-compatible AI agent search for talent across LinkedIn, GitHub, and StackOverflow via the HeroHunt People Search API. It is designed for recruiters, talent sourcers, and developers who want to automate candidate discovery.

How to use HeroHunt.ai MCP (People Search API)?

Configure the server in your MCP client using either a remote URL (recommended) or stdio via npx. Provide your HeroHunt API key as an environment variable or header. Then ask your AI agent to perform searches using natural language queries. The server exposes tools such as people_search, people_search_paginate, and several account and API key management tools.

Key features of HeroHunt.ai MCP (People Search API)

Search across LinkedIn, GitHub, and StackOverflow from one API
Natural language queries for candidate discovery
Enrich results with emails and phone numbers
Paginate through search results without extra credits
View account usage, plan, and rate limits for free
Manage API keys programmatically

Use cases of HeroHunt.ai MCP (People Search API)

Find senior engineers in a specific location and technology
Build a pipeline of candidates for a niche role
Enrich candidate profiles with contact details
Automate sourcing workflows inside AI agents

FAQ from HeroHunt.ai MCP (People Search API)

What do I need to use HeroHunt.ai MCP (People Search API)?

You need an active HeroHunt API key, available by signing up at herohunt.ai/app/api/sign-up. MCP clients like Claude Desktop or Cursor are recommended.

What are the costs of using the tools?

The people_search tool costs 1 credit per reserved slot. The people_search_paginate tool is free unless enrichment is enabled (which may incur additional costs). All account and API key management tools are free.

Which platforms are searched?

Search results include profiles from LinkedIn, GitHub, and StackOverflow.

Can I get contact information for candidates?

Yes. When you ask the agent to enrich results, the people_search_paginate tool can return emails and phone numbers when enrichment is enabled.

Where can I monitor my usage and rate limits?

Use the account_usage_get tool, which is free, to view your plan, remaining credits, rate limit information, and API key prefixes.

开发工具分类下的更多 MCP 服务器

TalkToFigma

sonnylazuardi

TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

6.9K