cloudrun-mcp 0.1.3

Async MCP SSE client for Google Cloud Run with ID-token auth

cloudrun-mcp

Async MCP (Model Context Protocol) client for Google Cloud Run.

Features

• Cloud Run / GKE Workload Identity support
• Automatic ID-token authentication
• Async Server-Sent Events (SSE)
• Agentic-AI friendly streaming API

Install

pip install cloudrun-mcp

Usage

import asyncio from cloudrun_mcp import MCPClient

async def main(): client = MCPClient( base_url="https://your-mcp-server.run.app" )

async for event in client.events():
    print(event)

asyncio.run(main())

Requirements

• Python 3.10+
• Running on GCP (Cloud Run, GKE, GCE) with metadata server access

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Publish to PyPI (exact commands)

# 1. Create virtual env
python3 -m venv .venv
source .venv/bin/activate

# 2. Install tools
pip install --upgrade build twine

# 3. Build
python -m build

# 4. Upload (TestPyPI first – recommended)
twine upload --repository testpypi dist/*

# 5. Production PyPI
twine upload dist/*