Which integrations are available for this server?

Integrates with Brave Search API to provide web, news, and community search results as part of a multi-engine parallel search and cross-verification system. Uses DuckDuckGo's HTML-based search to fetch results without an API key, integrated into a cross-verification search pipeline. Leverages Mojeek's independent search index as a free engine in the parallel search and cross-validation pipeline. Queries Wikipedia's REST API to retrieve encyclopedia articles, contributing to multi-source verification.

How do I use cross-search?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@cross-search Find and cross-validate recent Mars rover discoveries" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

cross-search

by Bryan-cmf

Overview Schema Source Related Servers Discussions Admin

TypeScript

Remote

Cross Search

🔍 多引擎並行搜索 + 交叉驗證 — 同時調用多個搜索引擎，去重合併、標註置信度，追求絕對準確的事實。

支援兩種模式，覆蓋幾乎所有 AI 智能體：

模式	適用於	安裝方式
OpenClaw Plugin	OpenClaw 用戶	`openclaw plugins install`
MCP Server	Claude Desktop、Cursor、ZCode、任何 MCP client	`node dist/mcp-server.js`

✨ 功能

同時調用 Brave + Tavily + DuckDuckGo + Wikipedia + Bing + Mojeek，Promise.all 並行發送、URL 去重合併、交叉驗證，每個結果標註來源引擎同意數同置信度。

Related MCP server: MCP MixSearch

🎯 置信度層級

層級	條件	說明
🟢 HIGH	≥50% engines 同意	多引擎獨立驗證，極高可信度
🟡 MEDIUM	2+ engines 同意	部分驗證，可靠
🔴 LOW	單一 engine	未經交叉驗證，需謹慎對待

📦 模式一：OpenClaw Plugin

適用於 OpenClaw 用戶。Agent 自動使用 cross_search 工具。

# 從 GitHub 安裝（推薦）
openclaw plugins install https://github.com/Bryan-cmf/CrossSearch-MCP

# 或 clone 後本地 link 安裝（適合開發）
git clone https://github.com/Bryan-cmf/CrossSearch-MCP.git
cd CrossSearch-MCP
npm install
openclaw plugins install --link .

⚙️ 配置

在 ~/.openclaw/openclaw.json 加入：

{
  plugins: {
    entries: {
      "cross-search": {
        enabled: true,
        config: {
          braveApiKey: "BSA...",           // https://brave.com/search/api/
          tavilyApiKey: "tvly-...",         // https://tavily.com/
          bingApiKey: "xxx",                // optional
          defaultEngines: ["brave", "tavily", "ddg", "wikipedia"],
          maxResultsPerEngine: 10,
          timeoutMs: 10000
        }
      }
    }
  }
}

改完執行 openclaw mcp reload，再重啟 gateway 讓 plugin 生效。

📦 模式二：MCP Server（Claude Desktop / Cursor / ZCode / 任何 MCP client）

把 cross_search 作為 MCP server 運行，任何支援 Model Context Protocol 的智能體都能用。

安裝 + 建構

git clone https://github.com/Bryan-cmf/CrossSearch-MCP.git
cd CrossSearch-MCP
npm install
npm run build      # 產生 dist/mcp-server.js

配置 API Key（環境變數）

MCP server 從環境變數讀取 API key（冇 key 的引擎會自動跳過，免費引擎仍可運作）：

export BRAVE_API_KEY="BSA..."          # https://brave.com/search/api/
export TAVILY_API_KEY="tvly-..."        # https://tavily.com/
export BING_API_KEY="xxx"               # 可選

# 可選調整
export CROSS_SEARCH_ENGINES="brave,tavily,ddg,wikipedia"   # 預設引擎
export CROSS_SEARCH_MAX_RESULTS="10"                       # 每引擎最大結果數
export CROSS_SEARCH_TIMEOUT_MS="10000"                     # 超時（ms）

💡 冇任何 API key 也能用：ddg + wikipedia + mojeek 三個免費引擎仍提供交叉驗證。

接入 MCP client

Claude Desktop（~/Library/Application Support/Claude/claude_desktop_config.json）：

{
  "mcpServers": {
    "cross-search": {
      "command": "node",
      "args": ["/path/to/CrossSearch-MCP/dist/mcp-server.js"],
      "env": {
        "BRAVE_API_KEY": "BSA...",
        "TAVILY_API_KEY": "tvly-..."
      }
    }
  }
}

Cursor / 其他 MCP client：同樣格式，指定 node dist/mcp-server.js + env。

OpenClaw 自己也能用 MCP 模式（~/.openclaw/openclaw.json）：

{
  "mcp": {
    "servers": {
      "cross-search": {
        "command": "node",
        "args": ["/path/to/CrossSearch-MCP/dist/mcp-server.js"],
        "env": { "BRAVE_API_KEY": "BSA...", "TAVILY_API_KEY": "tvly-..." }
      }
    }
  }
}

驗證

# 測試 server 能否啟動 + 列出工具
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}
{"jsonrpc":"2.0","method":"notifications/initialized"}
{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}' | \
  BRAVE_API_KEY="BSA..." node dist/mcp-server.js

成功會回傳 serverInfo: cross-search 0.1.0 同 cross_search 工具定義。

MCP 模式特色

同時返回文字 + JSON：content 含可讀報告 + 結構化數據，畀 agent 自行揀用
自動引擎過濾：缺 key 的付費引擎會被靜默跳過，唔會報錯
跨平台：任何 OS、任何 MCP client，只要識行 node

🧰 可用引擎

引擎	需要 API Key	免費額度	說明
brave	✅	2000/月	Brave Search API（獨立索引+新聞+社群）
tavily	✅	1000/月	Tavily AI Search（結構化摘要）
ddg	❌	無限	DuckDuckGo（HTML 抓取）
wikipedia	❌	無限	Wikipedia REST API
bing	✅	視計劃	Bing Web Search API
mojeek	❌	無限	Mojeek（獨立索引）

💡 即使冇任何 API key，ddg + wikipedia + mojeek 三個免費引擎仍可提供交叉驗證。

🚀 使用

裝好後，agent 會自動使用 cross_search 工具。你也可以明確指示：

「用 cross_search 查一下...」
「用交叉驗證搜索幫我查...」
「同時用多個引擎搜尋...」

工具會返回每條結果的來源引擎、同意數、置信度標記。

📋 配置項

項目	類型	預設	說明
`braveApiKey`	string	—	Brave Search API Key
`tavilyApiKey`	string	—	Tavily API Key
`bingApiKey`	string	—	Bing Search API Key（可選）
`defaultEngines`	string[]	`["brave","tavily","ddg","wikipedia"]`	預設啟用的引擎
`maxResultsPerEngine`	number	10	每個引擎返回最大結果數（1-20）
`timeoutMs`	number	10000	每個引擎請求超時（3000-30000ms）

🔧 開發

git clone https://github.com/Bryan-cmf/CrossSearch-MCP.git
cd CrossSearch-MCP
npm install
npm run build    # tsc → dist/

📄 License

MIT — 見 LICENSE

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