fix(mcp-deployment): Add comprehensive MCP deployment documentation #594
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- Add detailed deployment section for ADK agents with MCP tools - Document critical synchronous agent definition requirement for deployment - Cover three deployment patterns: self-contained stdio, remote SSE/HTTP, and sidecar containers - Include production deployment checklist with security, monitoring, and scalability considerations - Provide environment-specific configurations for Cloud Run, GKE, and Vertex AI Agent Engine - Add troubleshooting guide for common MCP deployment issues - Include quick deployment commands for Agent Engine and Cloud Run Addresses deployment challenges outlined in issue #327 where async MCP toolset creation is no longer supported in deployment environments. Fixes #327
pwwpche
reviewed
Aug 13, 2025
docs/tools/mcp-tools.md
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| ```python | ||
| # deploy_mcp_server.py - Separate Cloud Run service | ||
| from mcp.server import Server | ||
| from mcp.server.stdio import stdio_server |
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Let's use the streamable http server, something like this one
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Done! PTAL... if you have time!
- Update Pattern 2 deployment example to use StreamableHTTPSessionManager - Replace basic SSE server code with comprehensive Streamable HTTP implementation - Add production-ready features: stateless mode, ASGI compliance, lifecycle management - Include Starlette application setup with proper error handling
joefernandez
approved these changes
Aug 14, 2025
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Addresses deployment challenges outlined in issue #327 where async MCP toolset creation is no longer supported in deployment environments.
Fixes #327