mcpservers

Recipe

Wire up your dev stack: code, CI, containers, errors

GitHub, Git, Docker, Kubernetes and Sentry in one chat — review, ship, and debug without tab-switching.

20 minutes intermediate 4 connectors for Developers who don't want to context-switch between editor and GitHub for every diff

What you'll need

GitHub Read and act on repos, PRs, issues, and Actions.
Optional
Docker Inspect and control containers on your Docker daemon.
Optional
Sentry Pull error events and stack traces straight into context.
Optional
Kubernetes Inspect and manage workloads on a cluster.
Optional

Do this, in order

  1. 1

    Connect the basics

    Install the GitHub MCP. Show me open PRs on our main repo that have no review yet.

    You'll get: A list of unreviewed PRs with author and age.

  2. 2

    Trace a problem

    Install the Sentry MCP. Take the top unresolved error this week and tell me which commit likely introduced it.

    You'll get: The error, its stack trace, and a suspected commit with reasoning.

  3. 3

    Close the loop

    Open a GitHub issue for that error with the stack trace, suspected cause, and a suggested fix.

    You'll get: A created issue link with a clear title and body.

You're done when

Your whole engineering loop — review, debug, ship — runs from chat with real data instead of a dozen open tabs.

Why this workflow exists

Engineering work is spread across tools: code in GitHub, runtime in containers or a cluster, failures in Sentry. Each context switch costs focus. Connecting these servers lets Claude hold the whole loop at once — read a failing error, trace it to a commit, and open the issue — without you bouncing between five tabs.

People ask their AI

“connect my dev tools to Claude”“review PRs / debug errors with Claude”“what MCP for github, docker, or sentry”

Related

pr review with github mcp sentry error to github issue