TinyFish
一个基于 TinyFish 免费搜索 API 的 MCP（Model Context Protocol）服务，为 AI 助手提供实时网络搜索能力。支持通过 Stdio 和 HTTP 两种标准协议进行便捷集成，方便开发者将搜索功能接入到各类 AI 应用中。
What is TinyFish?
TinyFish is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 一个基于 tinyfish 免费搜索 api 的 mcp（model context protocol）服务，为 ai 助手提供实时网络搜索能力。支持通过 stdio 和 http 两种标准协议进行便捷集成，方便开发者将搜索功能接入到各类 ai 应用中。
一个基于 TinyFish 免费搜索 API 的 MCP（Model Context Protocol）服务，为 AI 助手提供实时网络搜索能力。支持通过 Stdio 和 HTTP 两种标准协议进行便捷集成，方便开发者将搜索功能接入到各类 AI 应用中。
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 一个基于 TinyFish 免费搜索 API 的 MCP（Model Context Protocol）服务，为 AI
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx tinyfishConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about TinyFish
What is TinyFish?
TinyFish is a Model Context Protocol (MCP) server that 一个基于 tinyfish 免费搜索 api 的 mcp（model context protocol）服务，为 ai 助手提供实时网络搜索能力。支持通过 stdio 和 http 两种标准协议进行便捷集成，方便开发者将搜索功能接入到各类 ai 应用中。 It connects AI assistants to external tools and data sources through a standardized interface.
How do I install TinyFish?
Follow the installation instructions on the TinyFish GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with TinyFish?
TinyFish works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is TinyFish free to use?
Yes, TinyFish is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up TinyFish in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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