# Custom Search MCP Server

> Use this tool when you need to integrate Google Custom Search functionality into conversational interfaces or automate search queries using natural language inputs. It solves problems related to programmatic searching, data retrieval, and information discovery, enabling users to fetch relevant results through the Multi-Agent Conversation Protocol. The tool accepts natural language queries as input and returns relevant search results as output, ideal for use cases requiring automated search functionality in conversational systems.

Canonical page: https://skillsregistry.net/skills/qingyun-wu-custom-search-api  
JSON: https://api.skillsregistry.net/v1/skills/qingyun-wu-custom-search-api

## Description

An MCP server that enables interaction with Google Custom Search API through natural language, allowing users to perform searches programmatically via the Multi-Agent Conversation Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fb3c5w81f6)
- **Repository:** <https://github.com/qingyun-wu/custom-search-api>

## 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": "qingyun-wu-custom-search-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qingyun-wu-custom-search-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qingyun-wu-custom-search-api/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
