Google Custom Search MCP

io.github.A1-x-Tech由 GitHub 账号 A1-x-Tech 发布v1.1.1更新于 Nov 1, 2026

MCP server for Google Custom Search: web and image search via a Programmable Search Engine.

概览

AI 生成的概览

通过 Google 可编程搜索引擎执行网页与图片搜索,支持分页、筛选,并提供原始 API 请求入口。

可以做什么
  • 在你的可编程搜索引擎中搜索网页,可按语言、国家、日期、站点和文件类型收窄,并用游标翻页
  • 搜索图片,返回图片文件及其尺寸、缩略图和所在页面
  • 向 Custom Search JSON API 的任意路径发送原始 GET 请求,以使用类型化工具未暴露的参数
适用场景
适合让助手通过你自己的 Google 引擎在开放网络或指定站点集合中查找资料,并按主题获取图片。它只读,不能报告你自己网站的收录或排名情况。
运行要求
本地 Node.js 20+ 进程,通常用 npx 启动。需要一个已启用 Custom Search API 的 Google Cloud API 密钥(GOOGLE_CUSTOM_SEARCH_API_KEY)和一个可编程搜索引擎 ID(GOOGLE_CUSTOM_SEARCH_ENGINE_ID);全网搜索需在引擎中启用“搜索整个网络”,图片搜索需启用图片搜索。另有 API 地址、超时和重试等可选设置。
安装前请注意
API 密钥属于机密,建议限制为仅可用于 Custom Search API。每次调用(包括 raw_request)都会消耗项目每日配额的一个单位(免费 100 次/天,付费可更高),宽泛或重复查询会耗费配额。请求会发往 Google,服务器默认发送匿名遥测,包含安装 ID 和部分脱敏的错误摘录;设置 ASKADS_TELEMETRY=0 可关闭。所有工具均为只读 GET。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Google Custom Search MCP,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

[A1] Google Custom Search MCP

English | Русский

[npm] [Glama] [CI] [License: MIT]

A1 Google Custom Search MCP lets an AI app search the web and images in plain language through your Programmable Search Engine. Ask for pages, narrow by language, country, date or site, page through results and pull image files with thumbnails.

It uses the Google Custom Search JSON API with your Google Cloud API key. You decide what the engine covers — a handful of sites or the entire web — and the server makes the limits of the JSON API explicit instead of implying that every search task is possible.

  • 3 tools. Web search, image search, and a raw GET escape hatch for parameters the typed tools don't expose.
  • Read-only end to end. The Custom Search JSON API has no write endpoint; every tool is marked read-only and nothing here can modify data.
  • You control the coverage. The engine's configuration decides what gets searched; results and ranking can differ from google.com.
  • The key stays in a header. API-key authentication — no OAuth, no scopes; the key travels in the X-Goog-Api-Key header and never appears in a URL.
  • Not Google Search Console. It cannot report how your own site is indexed or ranked.

Start with a read-only question:

Find recent articles about passkey adoption from the last month and summarize the top three results.

Connect the server · Explore use cases · Open technical documentation


See it work in a minute

You: Find recent articles about passkey adoption, English only, from the last month.

Assistant: Runs one search through your engine and shows each result's title, link and snippet. Nothing changes — every tool is read-only.

You: Show the next page.

Assistant: Continues from the next_start cursor and shows results 11–20 of the same query.

You: Now find large press photos on the same topic.

Assistant: Switches to image search and returns image files with their dimensions, thumbnails and the pages that host them.

Contents

Quick start

You need Node.js 20+, a Google Cloud API key with the Custom Search API enabled and a Programmable Search Engine id (cx).

  1. Get an API key and an engine id.
  2. Add the server to your AI app.
  3. Ask the read-only question above.
Codex

In the app: open Settings → MCP servers, select Add server, choose STDIO, enter the command npx -y mcp-google-custom-search@latest and environment variables GOOGLE_CUSTOM_SEARCH_API_KEY, GOOGLE_CUSTOM_SEARCH_ENGINE_ID, then select Save and Restart.

From the command line:

bash
codex mcp add google-custom-search \  --env GOOGLE_CUSTOM_SEARCH_API_KEY=your_api_key \  --env GOOGLE_CUSTOM_SEARCH_ENGINE_ID=your_engine_id \  -- npx -y mcp-google-custom-search@latest
bash
codex mcp list

Codex MCP documentation

Claude Code
bash
claude mcp add \  --env GOOGLE_CUSTOM_SEARCH_API_KEY=your_api_key \  --env GOOGLE_CUSTOM_SEARCH_ENGINE_ID=your_engine_id \  --transport stdio --scope user google-custom-search \  -- npx -y mcp-google-custom-search@latest
bash
claude mcp list

Claude Code MCP documentation

Claude Desktop

The current official path is Settings → Extensions. For a custom desktop extension, open Advanced settings → Extension Developer → Install Extension…, select a .mcpb file and follow the prompts.

This repository currently publishes an npm stdio package and does not contain a .mcpb bundle. For Claude Desktop builds that still support local configuration, use the following JSON stdio configuration as a fallback:

json
{  "mcpServers": {    "google-custom-search": {      "command": "npx",      "args": ["-y", "mcp-google-custom-search@latest"],      "env": {        "GOOGLE_CUSTOM_SEARCH_API_KEY": "your_api_key",        "GOOGLE_CUSTOM_SEARCH_ENGINE_ID": "your_engine_id"      }    }  }}

In those builds, save it to ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows.

Claude Desktop MCP documentation

Cursor

Add this to ~/.cursor/mcp.json on macOS/Linux or %USERPROFILE%\.cursor\mcp.json on Windows:

json
{  "mcpServers": {    "google-custom-search": {      "type": "stdio",      "command": "npx",      "args": ["-y", "mcp-google-custom-search@latest"],      "env": {        "GOOGLE_CUSTOM_SEARCH_API_KEY": "your_api_key",        "GOOGLE_CUSTOM_SEARCH_ENGINE_ID": "your_engine_id"      }    }  }}

Cursor MCP documentation

VS Code

Run MCP: Open User Configuration and add:

json
{  "servers": {    "google-custom-search": {      "type": "stdio",      "command": "npx",      "args": ["-y", "mcp-google-custom-search@latest"],      "env": {        "GOOGLE_CUSTOM_SEARCH_API_KEY": "${input:custom_search_api_key}",        "GOOGLE_CUSTOM_SEARCH_ENGINE_ID": "${input:custom_search_engine_id}"      }    }  },  "inputs": [    { "type": "promptString", "id": "custom_search_api_key", "description": "Google Cloud API key", "password": true },    { "type": "promptString", "id": "custom_search_engine_id", "description": "Programmable Search Engine id (cx)" }  ]}

Check it with MCP: List Servers.

VS Code MCP documentation

What you can ask it to do

Search the web

  • Find recent tutorials on a topic and summarize the top results.
  • Search only within docs.python.org — or everywhere except a site you distrust.
  • Show the next page of results for the same query.

Narrow the results

  • Only English pages published in the last month.
  • Only PDF files; require an exact phrase or exclude a term.
  • Restrict to one country's content, or to material with specific usage rights.

Find images

  • Find large photos on a topic, with dimensions and thumbnails.
  • Only clipart or line drawings, black and white ones.
  • Show the page each image comes from.

Go beyond the typed tools

  • Call the API with parameters the typed tools don't expose — fields to trim the response, lowRange/highRange, hq.
  • Fetch the raw response envelope with promotions and the full pagemap.

How a search works

  1. Every query runs through a Programmable Search Engine, identified by its cx id — the configured default or a per-call engine_id. The engine's configuration decides coverage: a list of specific sites, or the entire web when "Search the entire web" is enabled.
  2. Results come back normalized — title, URL, snippet and metadata — with next_start/previous_start cursors for paging. total_results is Google's estimate and can shrink while paging.
  3. The API returns at most 10 results per call and 100 per query (start + num - 1 must stay ≤ 100). The server rejects a wider window before the request — the API would answer 400 after burning a quota unit.
  4. Image search requires Image search enabled in the engine's control panel; otherwise the API answers 400.

A corrected_query in the response is a spelling suggestion only — the results are still for the original query. And this is Programmable Search, not Google Search Console: the API cannot report how your own site is indexed or ranked.

What can change

OperationWhat happensConfirmation boundary
Web search (search)Reads search results from your engineNo change
Image search (search_images)Reads image results from your engineNo change
Raw API request (raw_request)GET against any Custom Search API pathNo change — the API has no write endpoint

Every tool carries the read-only annotation, the escape hatch included. The Custom Search JSON API is a single GET endpoint with no writes, so the only thing a call spends is a unit of your daily quota.

Getting access

Google Custom Search authenticates with an API key; no OAuth and no scopes are involved.

  1. Create or select a Google Cloud project and enable the Custom Search API.
  2. Create an API key under APIs & Services → Credentials. Restricting the key to the Custom Search API is a good habit.
  3. Create a Programmable Search Engine in the control panel and copy its Search engine ID (cx). Enable Search the entire web for open-web search and Image search for the image tool.

Treat the API key as a password. The server sends it in the X-Goog-Api-Key header, never in a URL, so logged or echoed URLs cannot leak it.

Configuration

VariableRequiredDescription
GOOGLE_CUSTOM_SEARCH_API_KEYYesGoogle Cloud API key with the Custom Search API enabled. Secret.
GOOGLE_CUSTOM_SEARCH_ENGINE_IDRecommendedDefault Programmable Search Engine id (cx); tools accept a per-call engine_id override.
GOOGLE_CUSTOM_SEARCH_API_BASENoCustom Search API base URL override.
GOOGLE_CUSTOM_SEARCH_TIMEOUT_MSNoPer-request timeout; default 30000 ms.
GOOGLE_CUSTOM_SEARCH_MAX_RETRIESNoTransient-error retries (429/5xx/network); default 3.

Without credentials the server still starts and completes the MCP handshake; the first tool call explains exactly which variables to set. The one malformed setup is an engine id without an API key — the key cannot be supplied per call, so both must be set together.

Data, limits and background work

  • Requests go to Google. The local server calls the Custom Search JSON API. Its anonymous telemetry contains an installation ID, package version, AI client and platform versions, and tool names — never the API key, search queries, results or tool arguments. For each tool call it also sends the outcome and, on failure, an excerpt of the error text with e-mails, addresses, tokens, numbers of 4+ digits and quoted text replaced by #; a value from your request can appear in it if the error text contains it. Set ASKADS_TELEMETRY=0 to opt out.
  • Google applies a daily quota. Every call from any of the three tools costs one unit of the per-project quota — 100 queries per day free, up to 10,000 per day with billing. On 429, the server backs off honoring Retry-After; because the whole API is idempotent GETs, 5xx and network errors are retried too, while 400/403 fail fast.
  • There is no background polling. The server runs only when called. If your AI app supports scheduled tasks, it can rerun a search periodically — each run still spends quota units.

Technical documentation

Support

Found a bug or need a scenario? Create an issue or write in Telegram.


[Две Моны дают пять]

You made it to the end!

来源:README.md,提交 24b9d71

工具

3

search_images

Image search

Image search through your Google Programmable Search Engine (searchType=image). Works only when the engine has "Image search" enabled in its control panel — otherwise the API answers 400. Each item's url is the image file itself; image.context_url is the page hosting it, with width/height/byte_size and a thumbnail_url (plus its dimensions) for previews. Everything else matches the search tool: same filters (language/country, safe search, site include/exclude, date_restrict, file_type, rights — use rights for reusable images), same pagination (max 10 per call, 100 per query, paginate via next_start), same quota (one unit per call). Image-only filters: size (icon..huge), type (clipart/face/lineart/stock/photo/animated), color_type (mono/gray/color/trans) and dominant_color.

输入参数numsafesizesorttypequery必填startrightscountrylanguageor_termsengine_id另有 12 个

raw_request

Raw Custom Search API call

Escape hatch: performs a GET against any Custom Search JSON API path and returns the raw, unnormalized response envelope (queries.request/nextPage, searchInformation, promotions, context, items[] with htmlSnippet/htmlTitle/formattedUrl and the full pagemap). Use it for parameters the typed tools don't expose (lowRange/highRange, c2coff, hq, fields) — e.g. path "customsearch/v1?q=test&num=3&fields=items(title,link)". The API key is added automatically (in a header, never the URL) and the configured engine id is filled in when the path has no cx parameter. The API has GET endpoints only, so nothing here can modify data.

输入参数path必填

版本历史

4
  1. v1.1.1最新Oct 31, 2026
  2. v1.1.0Oct 31, 2026
  3. v1.0.0Sep 23, 2026
  4. v0.1.0Sep 16, 2026

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