AI CODE GENERATION

Digma’s MCP Server

The Digma MCP Server leverages the data in your APM dashboards to assist the AI agent during code reviews, code and test generation, fix suggestions, etc., and enables the agent to drive performance improvements and cost reduction

MCP Servers improve genAI suggestions

MCP servers allow AI models to access and interact with various tools and data sources, extending their capabilities beyond their own internal knowledge

MCP - mcp 1
MCP - idea plugin

Maximize code review effectiveness

Digma provides the AI agent with insights based on observability data from production and pre-prod. The AI agent can then:

  • Highlight risky code in the PR and provide impact visibility
  • Automatically fix issues identified in pre-production
  • Assess the proposed code based on real performance requirements
MCP - improvement tracking

Optimize performance cut costs

Digma analyzes observability data to identify which issues to fix to improve performance and efficiency. The AI agent can then:

  • Highlight the code areas that would have the most impact when optimized
  • Automatically identify and fix performance bottlenecks, inefficient queries, scaling problems and other issues
We Answered

Frequently Asked Questions

MCP is a technology that allows AI models to access and interact with various tools and data sources, extending their capabilities beyond their own internal knowledge

Yes! The Digma MCP works with any AI platform that supports MCP servers, including co-pilot, cursor, vscode and more.

If you’re already using the Digma platform, you can get started using its MCP server within minutes. If you haven’t installed Digma yet, you are one Helm deployment away from being able to use it. Check out our installation docs.

Traditional APMs alert you after an issue hits production—by then, your team is already in firefighting mode. Digma works before deployment, identifying risky code changes and performance issues early. It’s about preventing problems instead of reacting to them.