Web Search

ai.groundroute由 groundroute.ai 發布官方發布者v0.1.0更新於 Oct 27, 2026

Web search for AI agents — one tool across 6 engines, routed to the cheapest + cached.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取AI 與機器學習

概覽

AI 產生的概覽

託管式網頁搜尋 MCP 伺服器,提供單一 search 工具,在六個搜尋引擎間路由並具備快取與容錯切換。

可以做什麼
  • 以單一 search 工具執行搜尋,可選 auto、web、news、academic、answer、page 等模式
  • 依結果數量、時效性、限定網域、語言與國家篩選及調整結果
  • 取得排序後的結果,含網址、標題、摘要、內容、來源引擎與發佈時間,answer 模式另可回傳附引用的綜合答案
  • 檢視每次呼叫的中繼資料,例如請求 ID、快取層級、是否降級與計費金額
適用情境
適合需要即時網頁、新聞或學術檢索、又不想分別串接多家搜尋 API 的助理;也適合希望由託管服務處理路由、快取與容錯切換的情境。
執行需求
遠端 streamable-HTTP 端點;宣告需要 OAuth,README 另說明可用 Authorization Bearer 標頭傳送 API 金鑰(本機 stdio 伺服器使用 GROUNDROUTE_API_KEY)。工具探索不需金鑰,執行搜尋則需要。需網路連線。
安裝前請注意
搜尋按次計費,費用在回應中繼資料中顯示;快取節省採分潤計價,亦支援自備金鑰。API 金鑰屬憑證,請勿放入共用設定。查詢會送往第三方託管服務,再由其轉送至外部搜尋引擎。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Web Search,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.groundroute%2Fweb-search/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "web-search": {
      "type": "http",
      "url": "https://api.groundroute.ai/mcp"
    }
  }
}

README

[GroundRoute, web search MCP server]

[Glama score] [License: MIT] [Python 3.12+] [MCP compatible] [Smithery]

Give your AI agent web search across 6 engines through one MCP search tool. Hosted. Routed. Cached.

Why GroundRoute

  • One tool, six engines. Serper, Brave, Exa, Tavily, Firecrawl, Perplexity, behind a single search call. Stop wiring up six APIs, six SDKs, six billing portals.
  • Never more than going direct. Gain-share pricing: you keep ~half of every cache saving, GroundRoute keeps ~half. On a miss, you just pay the engine. BYOK supported.
  • Routing, caching, failover, on by default. Each query goes to the cheapest engine that clears a quality bar. Repeats serve from cache. If an engine degrades, we fall back automatically. No agent code changes.

See it work (5 seconds)

A call to the search tool:

json
{  "name": "search",  "arguments": { "query": "what is RAGflow", "max_results": 3 }}

The response (trimmed):

json
{  "results": [    {      "url": "https://ragflow.io/docs/",      "title": "Quickstart - RAGFlow",      "snippet": "RAGFlow is an open-source RAG engine based on deep document understanding...",      "source_engine": "serper"    },    {      "url": "https://github.com/infiniflow/ragflow",      "title": "RAGFlow is a leading open-source Retrieval-Augmented Generation engine",      "snippet": "RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine...",      "source_engine": "serper"    }  ],  "meta": {    "request_id": "req_abc123",    "cache_tier": "miss",    "degraded": false,    "cost_usd": 0.0021  }}

source_engine tells you which engine answered. meta exposes the cache tier and billed cost per call.

Benchmarked, not just shipped

We ran 170 real agent queries across all 6 engines, judged by an LLM, to map cost vs. quality per query class. Full methodology and per-engine results: State of AI Search.


Install

The hosted endpoint is https://api.groundroute.ai/mcp (streamable-HTTP). Get an API key at groundroute.ai/keys.

Claude Desktop / Claude Code, add to your MCP config:

json
{  "mcpServers": {    "groundroute": {      "type": "http",      "url": "https://api.groundroute.ai/mcp",      "headers": { "Authorization": "Bearer gr_YOUR_KEY" }    }  }}

Cursor, ~/.cursor/mcp.json:

json
{ "mcpServers": { "groundroute": { "url": "https://api.groundroute.ai/mcp",  "headers": { "Authorization": "Bearer gr_YOUR_KEY" } } } }

VS Code (native MCP / Continue), .vscode/mcp.json:

json
{ "servers": { "groundroute": { "type": "http", "url": "https://api.groundroute.ai/mcp",  "headers": { "Authorization": "Bearer gr_YOUR_KEY" } } } }

Local / stdio-only clients, bridge stdio to HTTP with mcp-remote:

json
{ "mcpServers": { "groundroute": {  "command": "npx",  "args": ["-y", "mcp-remote", "https://api.groundroute.ai/mcp", "--header", "Authorization:Bearer gr_YOUR_KEY"]} } }

Run this repo's stdio server (optional)

This repo also ships a small native stdio MCP server (server.py) that forwards to the hosted API, useful for stdio-only clients or containerized runs.

bash
pip install -r requirements.txtGROUNDROUTE_API_KEY=gr_YOUR_KEY python server.py

Or with Docker:

bash
docker build -t groundroute-mcp .docker run -i -e GROUNDROUTE_API_KEY=gr_YOUR_KEY groundroute-mcp

Introspection (tool discovery) works with no key; running a search requires GROUNDROUTE_API_KEY (get one at https://groundroute.ai/keys).

The search tool

ParamTypeNotes
querystringrequired
modeenumauto (default), web, news, academic, answer, page
max_resultsintegerdefault 10, max 50
freshnessenumfresh, semi, static; omit to auto-detect
domainsstring[]include-only domain filter, e.g. ["arxiv.org"]
langstringISO 639-1 language code, e.g. en
countrystringISO 3166-1 alpha-2 country code, e.g. us

Returns a structured result: ranked results (url / title / snippet / content / source_engine / published_at), an optional synthesized answer with citations (answer mode), and meta (request_id / cache_tier / degraded / cost_usd). Routed, cached, and reliable.

How it works

One endpoint in front of many search engines, with price-led routing, caching, failover, and usage governance. See the docs and the State of AI Search benchmark (170 real agent queries across all 6 engines).

Links

registry-manifest.json in this repo is the listing manifest for MCP registries.

來源:README.md,提交 0c42389

工具

0
該伺服器需要 API 金鑰等憑證,因此 SourceWeft 無法在沒有憑證的情況下讀取其工具,也未收錄。

版本歷史

1
  1. v0.1.0最新Sep 16, 2026

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