What credentials are required?
A Google API key (with Custom Search API enabled) and a Custom Search Engine ID (from cse.google.com) are needed.
@renoscriptdev
Basic information
A MCP server in development for Google Scholar
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-google-scholar-dev": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@gradusnikov/google-search-mcp-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server that provides Google Custom Search functionality, allowing AI agents to perform web searches via the Google Custom Search API.
Install via Smithery or clone the repository manually, install dependencies (fastmcp, google-api-python-client, python-dotenv), set GOOGLE_API_KEY and GOOGLE_CSE_ID in a .env file, then start the server with mcp run google_search_mcp_server.py or add it to Claude Desktop's configuration.
A Google API key (with Custom Search API enabled) and a Custom Search Engine ID (from cse.google.com) are needed.
Use the Smithery CLI: `npx -y @smithery/cli install @gradusnikov/google-search-mcp-server --client claude`, or manually add the server to `claude_desktop_config.json`.
Python 3, `fastmcp`, `google-api-python-client`, `python-dotenv`.

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Sorank connects Google Search Console, PageSpeed Insights, and AI citability scoring to your assistant, so it can diagnose why a page underperforms and tell you exactly what to change. Sorank gives your AI assistant dir
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