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UniFuncs MCP Server

@UniFuncs

代码仓库

基本信息

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其他

传输方式

stdio

作者

UniFuncs

关于 UniFuncs MCP Server

MCP Server for the UniFuncs API

#mathgpt#math-solver#math-assistant

UniFuncs MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "unifuncs": {
      "command": "npx",
      "args": [
        "-y",
        "@unifuncs/ufn-mcp-server"
      ],
      "env": {
        "UNIFUNCS_API_KEY": "<YOUR UNIFUNCS API KEY>"
      }
    }
  }
}

UniFuncs MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is UniFuncs MCP Server?

UniFuncs MCP Server provides access to the UniFuncs API through the Model Context Protocol (MCP), offering web search, web reader, deep search (sync and async), and deep research capabilities. It is designed for developers building AI applications that need real-time or in-depth research from the web.

How to use UniFuncs MCP Server?

Install and configure via NPX (STDIO) using the @unifuncs/ufn-mcp-server package, setting the UNIFUNCS_API_KEY environment variable. Alternatively, build from source or run as an SSE server with the --sse flag or UNIFUNCS_SSE_SERVER=true. Tools are invoked by sending JSON-formatted requests to the MCP client.

Key features of UniFuncs MCP Server

  • Real-time web search with freshness and pagination.
  • Clean content extraction from web pages.
  • Synchronous and asynchronous deep search.
  • Comprehensive deep research with custom parameters.
  • Multiple output formats: JSON, Markdown, Text.

Use cases of UniFuncs MCP Server

  • Perform real-time web searches with filtered results.
  • Extract clean, structured content from any URL.
  • Run synchronous or asynchronous deep searches on complex queries.
  • Execute detailed deep research tasks with customizable depth and domain scoping.
  • Integrate web search and research into AI agent workflows via MCP.

常见问题

1

What is the difference between Deep Search and Deep Research?

Deep Search provides both synchronous (immediate) and asynchronous (task-based) search, while Deep Research offers more comprehensive, async-only research with customizable parameters like depth, domain scoping, and output prompts.

2

What are the runtime requirements for UniFuncs MCP Server?

Node.js is required to run the server via NPX or source build. A UniFuncs API key is mandatory and must be set as the environment variable `UNIFUNCS_API_KEY`.

3

What transports does UniFuncs MCP Server support?

It supports STDIO (default) and SSE transports. SSE can be enabled with the `--sse` flag or by setting `UNIFUNCS_SSE_SERVER=true`.

4

How is pricing structured for UniFuncs MCP Server?

Web Search and Web Reader are pay-per-request. Deep Search uses pay-per-token. Deep Research uses M Tokens for U3 and U3 Pro models.

5

Where can I find support or documentation?

Documentation is at https://unifuncs.com/api, GitHub at https://github.com/UniFuncs/ufn-mcp-server, and support by email at service@unifuncs.com.

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