# Google Custom Search

> Use this tool when you need to integrate web search capabilities into AI workflows, providing up-to-date information for applications such as fact-checking, research assistance, and content generation. It solves problems related to accessing web data by simplifying the integration of Google's search functionality, requiring only an API key and search engine ID as inputs. With a streamlined interface, it outputs relevant search results, making it an ideal solution for use cases that demand accurate and current web information.

Canonical page: https://skillsregistry.net/skills/adenot-google-search  
JSON: https://api.skillsregistry.net/v1/skills/adenot-google-search

## Description

This MCP server, developed by Allan Denot, provides web search capabilities using the Google Custom Search API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a streamlined interface for AI agents to perform web searches. The implementation focuses on simplifying the integration of Google's search functionality into AI workflows, requiring only an API key and search engine ID for setup. It's particularly useful for applications needing up-to-date web information, enabling use cases such as fact-checking, research assistance, and content generation without directly interacting with Google's API complexities.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adenot-google-search)
- **Repository:** <https://github.com/adenot/mcp-google-search>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "adenot-google-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adenot-google-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adenot-google-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt