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Google Custom Search MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "google-custom-search-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "google-custom-search-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

A1 Google Custom Search MCP

English | Русский

npm CI Glama 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 β€” a handful of sites or the entire web β€” 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 β€” 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 Β· Explore use cases Β· 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 β€” 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
  • What you can ask it to do
  • How a search works
  • What can change
  • Getting access
  • Configuration
  • Data, limits and background work
  • Technical documentation
  • Support

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 β†’ 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
Terminal
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
Terminal
claude mcp list

Claude Code MCP documentation

Claude Desktop

The current official path is Settings β†’ Extensions. For a custom desktop extension, open Advanced settings β†’ Extension Developer β†’ 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:

config.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:

config.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:

config.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 β€” 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 β€” 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 β€” 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 β€” title, URL, snippet and metadata β€” 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 β€” 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 β€” 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 β€” 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.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Google Custom Search MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "google-custom-search-mcp": { "command": "npx", "args": ["-y", "Google Custom Search MCP"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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