A lightweight MCP-compatible tool that enables AI agents to perform real-time web searches and retrieve structured results.

🔍 What It Does

This tool allows AI systems to search the web and get:

• Relevant page titles
• Direct URLs
• Concise snippets for context Designed for seamless integration into agent workflows and LLM pipelines.

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✨ Key Features

• 🌐 Real-time web search
• 📦 Structured, LLM-friendly responses
• ⚡ Fast and minimal interface
• 🔓 No authentication required
• 🤖 MCP-compatible tool schema

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🧠 Why Use This

• Add live web knowledge to AI agents
• Improve answer accuracy with fresh data
• Enable research and browsing capabilities
• Simple drop-in tool for MCP ecosystems

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🛠️ Available Tool

search

Search the web and return relevant results.

Input

jsonCOPY
{
  "query": "string"
}

Output

jsonCOPY
{
  "results": [
    {
      "title": "string",
      "url": "string",
      "snippet": "string"
    }
  ]
}

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🔌 How to Use

1. Discover tools

GET /tools

Returns available tools and their schemas.

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2. Execute search

POST /tools/search

Example

jsonCOPY
{
  "query": "latest AI news"
}

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⚡ Example Response

jsonCOPY
{
  "results": [
    {
      "title": "Latest AI Developments",
      "url": "https://example.com",
      "snippet": "Recent advancements in artificial intelligence..."
    }
  ]
}

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🎯 Ideal For

• AI agents and copilots
• Research assistants
• RAG pipelines
• Developer tools and MCP marketplaces

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⚠️ Notes

• Results are optimized for relevance and readability
• Best used where fresh external information is required
• Response format is stable and predictable for LLM usage

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💡 Summary

A simple, effective way to give AI systems real-time web search capability through a clean MCP interface.