MCP Google Custom Search Server provides web search capabilities using Google's Custom Search API, enabling Language Learning Models (LLMs) to perform searches. It's a Type-safe implementation built in TypeScript, compliant with Model Context Protocol (MCP).
MCP Google Custom Search Server provides web search capabilities using Google's Custom Search API, enabling Language Learning Models (LLMs) to perform searches. It's a Type-safe implementation built in TypeScript, compliant with Model Context Protocol (MCP).
Clone the repository, install dependencies, configure environment variables with your Google API key and Search Engine ID, build the server, and start it.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-google-custom-search-server": {
"command": "npx",
"args": [
"-y",
"Clone the repository, install dependencies, configure environment variables with your Google API key and Search Engine ID, build the server, and start it."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MCP Google Custom Search Server?"
No configuration required. This server works out of the box.
"What resources are available in MCP Google Custom Search Server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MCP Google Custom Search Server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MCP Google Custom Search Server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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