MCP servers for development workflows — version control, CI/CD, testing, monitoring, and infrastructure.
15 servers found
Browser automation and testing with Playwright. Navigate pages, take screenshots, generate PDFs, and run end-to-end tests.
Interact with GitHub repositories, issues, pull requests, and workflows. Manage code reviews, branches, and CI/CD pipelines.
Manage Jira issues, sprints, and boards. Create tickets, update statuses, and track project progress from your AI workflow.
AI-powered code navigation and editing. Understands project structure, symbols, and dependencies for intelligent refactoring.
Manage Docker containers, images, volumes, and networks. Build, run, and monitor containerized applications.
Interact with GitLab repositories, merge requests, pipelines, and issues. Full DevOps lifecycle management.
Browser automation with Puppeteer. Control Chrome/Chromium for web scraping, testing, and screenshot generation.
Query Datadog metrics, logs, and traces. Monitor application performance and infrastructure health.
Access Sentry error tracking data. View issues, stack traces, and error trends to debug production problems.
Query Grafana dashboards, alerts, and data sources. Visualize metrics and monitor system health.
Manage infrastructure as code with Terraform. Plan, apply, and inspect infrastructure changes.
Manage Vercel deployments, projects, and domains. Deploy frontend applications and serverless functions.
Manage Kubernetes clusters, pods, services, and deployments. Monitor and scale containerized workloads.
Execute shell commands, manage processes, and interact with the local filesystem. Full desktop automation.
Read, write, and manage files on the local filesystem. Create directories, move files, and search for content.