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MCP_GCP
This project implements a weather data service using the Model Context Protocol (MCP), designed to be consumed by intelligent agents (e.g., LLM agents). It's built with Python, containerized with Docker, and deployed to Google Cloud Run with continuous deployment configured from GitHub.
1stars
0forks
Python
cloudrun-servicegoogle-cloud-platformmcp-serverweather-forecast
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest musabz360/MCP_GCPAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx mcp_gcp
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mcp_gcp": {
"command": "uvx",
"args": [
"mcp_gcp"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mcp_gcp — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt