nothumansearch-mcp
Search engine for AI agents. Find websites and APIs ranked by agentic readiness score with llms.txt, OpenAPI, and MCP se
Search engine for AI agents that finds websites and APIs ranked by agentic readiness score (0-100). Uses remote HTTP endpoint for discovering agent-compatible services and tools.
About nothumansearch-mcp
nothumansearch-mcp is a community-built MCP server published by unitedideas that provides AI assistants with tools and capabilities via the Model Context Protocol. Search engine for AI agents. Find websites and APIs ranked by agentic readiness score with llms.txt, OpenAPI, and MCP se It is categorized under databases. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install nothumansearch-mcp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
nothumansearch-mcp is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (3)
Find agent-ready websites, APIs, and services by keyword, category, or minimum readiness score
Get the full 7-signal readiness report for a specific domain
Get index statistics including total sites, average score, and top category
Not Human Search — MCP server
A remote MCP server for searching the agentic web. Discover APIs, services, and tools AI agents can actually call — ranked by agentic readiness score (0-100).
Live endpoint: https://nothumansearch.ai/mcp (streamable-http transport, no install)
Registry listing: ai.nothumansearch/search
Install in one command
claude mcp add --transport http nothumansearch https://nothumansearch.ai/mcp
Any MCP-compatible client (Claude Code, Cline, Cursor, Zed, Goose, etc.) can connect to the same endpoint.
Tools
| Tool | Purpose |
|---|---|
search_agents | Find agent-ready websites, APIs, and services by keyword, category, or minimum readiness score. |
get_site_details | Get the full 7-signal readiness report for a specific domain. |
get_stats | Index statistics: total sites, average score, top category. |
What "agentic readiness" means
Every site in the index is scored 0-100 based on 7 signals that determine how cleanly an AI agent can interact with it:
llms.txt(25 pts)ai-plugin.json(20 pts)- OpenAPI spec (20 pts)
- Structured API (15 pts)
- MCP server (10 pts)
robots.txtAI bot rules (5 pts)- Schema.org markup (5 pts)
Other interfaces
- Website: https://nothumansearch.ai
- REST search API:
GET https://nothumansearch.ai/api/v1/search?q=<query> - On-demand check (CI-friendly):
POST https://nothumansearch.ai/api/v1/check - Embeddable badge:
https://nothumansearch.ai/badge/{domain}.svg - Submit a site:
POST https://nothumansearch.ai/api/v1/submit
Manifest
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "ai.nothumansearch/search",
"title": "Not Human Search",
"description": "Search engine for AI agents. Find websites and APIs ranked by agentic readiness.",
"version": "1.0.0",
"websiteUrl": "https://nothumansearch.ai",
"remotes": [
{ "type": "streamable-http", "url": "https://nothumansearch.ai/mcp" }
]
}
Deeper docs
See USAGE.md for a practical guide: tool arguments, recipes ("find me an email API that agents can actually call"), scoring details, and design principles.
License
The MCP server source lives in a private repo. This README is MIT-licensed — use the claude mcp add command freely.
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