It connects directly to your Google Search Console account via the official API, letting you access key data right from AI tools like Claude Desktop
It connects directly to your Google Search Console account via the official API, letting you access key data right from AI tools like Claude Desktop or OpenAI
This project provides a Model Context Protocol (MCP) server that allows Claude AI (via the Claude Desktop app) or others to interact with the Google Search Console API. You can use it to query performance data, inspect URLs, check indexing status, and more, directly from your Claude chat (or others).
venv (recommended, built into Python 3). * Google Account: With access to the Google Search Console properties you want to query. * Claude Desktop App: Installed and running.Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/Users/username/Desktop",
"/Users/username/Downloads"
]
},
"google-search-console": {
"command": "/Users/username/Documents/search-console-mcp/fresh_env/bin/python3",
"args": [
"-m",
"main"
],
"cwd": "/Users/username/Cursor/search-console-mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
venv (recommended, built into Python 3). * Google Account: With access to the Google Search Console properties you want to query. * Claude Desktop App: Installed and running.The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Use Preloop to **onboard existing agents** with one command, and to **deploy event-driven agentic automations** with governed tools and budgets.
Check if an AI model is deprecated, retiring, or silently changed price or context window.
A local-first workbench for developing, inspecting, and benchmarking MCP servers against local (LM Studio, Ollama) or remote (OpenRouter) models —
# MCP + Ollama Local Tool Calling Example This project demonstrates how a local AI agent can **understand user queries** and **automatically call