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Digma Code Observability MCP Server
A Model Context Protocol (MCP) server implementation for enabling agents to access observability insights using Digma for code observability and dynamic code analysis
- 🗣️ Observability-assisted code reviews: Check the PR branch for any issues discovered by pre-prod observability.
- 🔎 Find code inefficiencies with dynamic code analysis: Identify issues in the code/queries that are slowing the app down
- 🔭 Utilize code runtime usage data from distributed tracing: Check for breaking changes or generated relevant tests
help me review the code changes in this branch by looking at related runtime issuesI want to improve the performance of this app. What are the three most severe issues I can fix?I'm making changes to this function, based on runtime data. What other services and code would be affected?Are there any new issues in this code based on the Staging environment?Which database queries have the most impact on the application performance?
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want Digma again. Will you remember where to find it?
Save it to your library and the next time you need Digma, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Digma. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:wong2/awesome-mcp-servers
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