Use an MCP Server to Ship your AI Code with Control and Visibility
Dan Barr
Sr. Technical Marketing Engineer
Publish Date November 09, 2025
Lessons
- Reduce Token Waste with an Intelligent MCP Proxy
- Building a Multi-tenant MCP Gateway on AgentCore Gateway
- Safe and Deterministic Browser Automation with WebMCP
- Signal vs. Noise in the MCP Ecosystem
- Use an MCP Server to Ship your AI Code with Control and Visibility
- Helpful tools to build MCP Servers
- Making API Catalogs AI native with MCP
- Putting MCP into Context: What it is and Why it Matters
- Building MCP Ecosystems that Connect to Governed Data
- Overcoming MCP Deployment Hurdles with Standardized Solutions
- Building a Virtual MCP Server to Unlock New Tool Groupings
- Exploring Observability with MCP Servers
- Using MCP to Bridge AI Agents and Cloud Infrastructure
- Developer-First Feature Management with MCP
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Intermediate
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< 1 min read
With increasing use of AI coding assistants there’s growing pressure on developers to maintain control and visibility of their code. Brock Lumbard from Statsig offered some guidance and then jumped into a demo that resonated with the developers in the audience.