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UniFuncs MCP Server

@UniFuncs

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

UniFuncs

UniFuncs MCP Server について

MCP Server for the UniFuncs API

#mathgpt#math-solver#math-assistant

UniFuncs MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

UniFuncs MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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.

よくある質問

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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