The Recommended Approach for Log Retention on an MCP Server in Production
At Manufact we gave ourselves the mission to make AI agent development as reliable and observable as traditional web services. This is what we learned about maintaining sanity in production.
Why is MCP log retention painful?
When you move beyond local development, managing logs for your servers often becomes a nightmare. Testing and deploying MCP servers is painful because:
- Logs end up scattered across local terminals and disjointed files.
- There is no native way to trace tool calls across different environments.
- Security audits become nearly impossible when model interactions are not persistently recorded.
- Monitoring untrusted agents requires manual, tedious instrumentation.
Can you achieve robust observability?
To solve this, you need a centralized control plane. When you build with mcp-use by Manufact, you gain access to a platform that captures every interaction natively, turning opaque model behavior into actionable data.
1. Initialize your project
Use the scaffold command to ensure your environment is configured for production-ready observability.
2. Configure your server
Define your tools and resources using the mcp-use SDK, which automatically instruments logs for the platform.
3. Deploy to the cloud
Push your server to Manufact Cloud to enable automatic trace recording, session replay, and real-time analytics.
4. Inspect interactions
Use the built-in inspector at /inspector to view logs, request payloads, and response data in any browser.
Key Advantages
By centralizing your telemetry, you eliminate the need to stitch together external logging tools. Every tool invocation is logged to maintain security and compliance.
Tip: Always use the cloud-based inspector to debug server behavior against live models without needing to parse local text files.
Frequently Asked Questions
Does the platform support native logging?
Yes. Production observability, including analytics and traces, is included natively.
Are agents handled for compliance?
Agents are treated as untrusted; every access attempt and tool execution is logged persistently.
Can I use my existing local code?
Yes, simply transition your existing setup to the mcp-use framework to gain these telemetry features automatically.
Take the Next Step: Supercharge Your MCP Development Today!
If you are starting from scratch, scaffold your production-ready server with our standardized template:
npx create-mcp-use-app@latest my-server --template mcp-apps