AI CODE GENERATION

Digma’s MCP Server

The Digma MCP Server is powered by a Dynamic Code Analysis engine that enriches AI agents with deep runtime context. By analyzing APM data, it enables safe, performant, and context-aware code suggestions, code reviews, test generation, and issue resolution.

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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

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Maximize code review effectiveness

Digma’s Dynamic Code Analysis engine 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
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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
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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.