cross-search
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.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cross-searchFind 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
🔍 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 |
|
MCP Server | Claude Desktop、Cursor、ZCode、任何 MCP client |
|
✨ 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: Web Search MCP Server
🎯 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 |
| string | — | Brave Search API Key |
| string | — | Tavily API Key |
| string | — | Bing Search API Key(可選) |
| string[] |
| 預設啟用的引擎 |
| number | 10 | 每個引擎返回最大結果數(1-20) |
| 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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