Discover and Verify AI Services

Not Human Search MCP

Overview

Not Human Search is a remote MCP server that lets AI agents search a curated index of 1,750+ AI-ready websites, inspect indexed site details, submit new sites for analysis, and verify live MCP endpoints via JSON-RPC probe. It is designed for AI agents that need to discover tools, APIs, and services at runtime without relying on hardcoded lists.

When to Use This Skill

• Use when an AI agent needs to discover tools, APIs, or MCP servers for a specific task
• Use when you want to check whether a website exposes machine-readable endpoints (llms.txt, OpenAPI, MCP)
• Use when verifying that an MCP endpoint is actually responding to JSON-RPC
• Use when building agent workflows that need to find and connect to external services dynamically

MCP Configuration

Add the Not Human Search MCP server to your client configuration. The endpoint uses streamable HTTP and requires no authentication.

Claude Desktop / Cursor / Windsurf

{
  "mcpServers": {
    "not-human-search": {
      "url": "https://nothumansearch.ai/mcp"
    }
  }
}

No API key or authentication is required.

Available Tools

search_agents

Search the index of 1,750+ AI-ready websites by keyword. Returns ranked results with scores, categories, and available endpoints.

search_agents({ query: "code review tools", limit: 10 })

get_site_details

Check a specific domain's AI-readiness score and available machine-readable endpoints.

get_site_details({ domain: "linear.app" })

get_stats

Get aggregate index statistics, including total indexed sites, categories, and endpoint coverage.

get_stats({})

submit_site

Submit a URL for crawling and AI-readiness analysis.

submit_site({ url: "https://example.com" })

verify_mcp

Verify whether a URL is a live MCP endpoint by sending a JSON-RPC probe and checking for a valid response.

verify_mcp({ url: "https://example.com/mcp" })

list_categories

List available discovery categories for narrowing searches.

list_categories({})

get_top_sites

Retrieve top-ranked indexed sites.

get_top_sites({ limit: 10 })

register_monitor

Register a domain monitor using a user-provided email address.

register_monitor({ domain: "example.com", email: "user@example.com" })

Examples

Example 1: Discover Code Review Tools

Use @not-human-search-mcp to find code review tools that expose MCP or API endpoints.

The agent will call search_agents({ query: "code review", limit: 10 }) and return ranked results with scores and endpoint details.

Example 2: Check if a Site is AI-Ready

Use @not-human-search-mcp to check the AI-readiness of linear.app.

The agent will call get_site_details({ domain: "linear.app" }) and return the site's score breakdown.

Example 3: Verify an MCP Endpoint

Use @not-human-search-mcp to verify that https://heliumtrades.com/mcp is a working MCP server.

The agent will call verify_mcp({ url: "https://heliumtrades.com/mcp" }) and confirm whether it responds to JSON-RPC.

Best Practices

• Use search_agents for broad discovery, then get_site_details for detailed analysis of specific indexed results
• Use verify_mcp to confirm an MCP endpoint is live before wiring it into an agent workflow
• Use submit_site when a relevant site is absent from the index and the user wants it analyzed
• Use register_monitor only with an email address the user explicitly provides for monitoring
• Combine with other MCP skills to build dynamic tool-discovery pipelines

Limitations

• The search index covers 1,750+ sites and is updated regularly, but may not include every site on the internet.
• Scoring reflects machine-readable signals (llms.txt, OpenAPI, MCP, structured data) rather than content quality.
• verify_mcp sends a JSON-RPC probe to the target URL; only use it on URLs you expect to be MCP endpoints.
• register_monitor requires a user-provided email address and consent to receive monitoring notifications.

Related Skills

• @mcp-builder - For building your own MCP servers
• @ai-dev-jobs-mcp - Search AI/ML job listings via MCP