UniFuncs MCP Server

Name: UniFuncs MCP Server
Author: UniFuncs

@UniFuncs

リポジトリ

UniFuncs MCP Server について

MCP Server for the UniFuncs API

#mathgpt #math-solver #math-assistant

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

UniFuncs

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>"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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.

FAQ from UniFuncs MCP Server

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.

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.

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.

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.

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 [email protected].

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