Heventure Search MCP

Community Search and web

Web search across DuckDuckGo, Bing, Google (via SerpAPI) and Tavily with automatic rate limiting, caching and multi-language support.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. 🔍 MCP Web Search Server
  2. ✨ Why?
  3. 🚀 Quick Start
  4. 🔧 Available Tools
  5. 🔑 Optional: Enhanced Search
  6. 🏗️ Architecture
  7. 🤝 Contributing
  8. 📄 License

**中文** | English


🔍 MCP Web Search Server

Free forever. No API key required. A web search MCP server that works out of the box with Claude Desktop, Cursor, and any MCP-compatible AI tool.

pip install heventure-search-mcp

✨ Why?

Most MCP search servers require you to sign up for API keys (Bing, Google, SerpAPI...). This one works immediately — zero configuration, zero cost, zero sign-ups.

FeatureThis ServerOthers
No API key needed✅❌
DuckDuckGo (free)✅varies
Bing (free)✅❌
Google (free)✅❌
Optional SerpAPI/Tavily✅✅
Async + caching✅varies
Install in 10 seconds✅varies

🚀 Quick Start

Option 1: Claude Desktop / Cursor

Add to your MCP config:

{
  "mcpServers": {
    "web-search": {
      "command": "uvx",
      "args": ["heventure-search-mcp"]
    }
  }
}
Option 2: Command Line
pip install heventure-search-mcp
heventure-search-mcp
Option 3: Docker
docker run -p 8080:8080 heventure-search-mcp

🔧 Available Tools

Search the web with multiple engines simultaneously.

ParameterTypeDefaultDescription
querystringrequiredSearch query
max_resultsint10Number of results (1-20)
search_enginestring"both"duckduckgo, bing, google, or both
get_page_content

Extract readable text from any webpage.

ParameterTypeDefaultDescription
urlstringrequiredPage URL to fetch

The free engines work great for most use cases. For higher quality results, you can optionally add paid API keys:

# SerpAPI — 100 free searches/month
export SERPAPI_KEY="your_key"

# Tavily — 1,000 free searches/month  
export TAVILY_API_KEY="your_key"

🏗️ Architecture

  • Engines: DuckDuckGo, Bing, Google, SerpAPI, Tavily
  • Caching: LRU cache with 300s TTL (100 entries max)
  • Protocol: MCP (Model Context Protocol)
  • Runtime: Python 3.10+ with asyncio

🤝 Contributing

Issues and Pull Requests are welcome! See CONTRIBUTING.md for guidelines.

📄 License

MIT License — use it however you want.

Frequently asked questions

What is Heventure Search MCP?

Web search across DuckDuckGo, Bing, Google (via SerpAPI) and Tavily with automatic rate limiting, caching and multi-language support.

How do I install Heventure Search MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Heventure Search MCP open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Heventure Search MCP?

It is published by HughesCuit. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.