BugBug Agent Plugin

MCP serverAI & models

Your AI gains BugBug skills and workflows once this app is added. It can then use ready-made BugBug skills while working on your tasks and follow BugBug workflows from start to finish.

Available today. Use it from your connected AI after setup.

After adding it, ask your AI to use a BugBug skill or run a BugBug workflow. Start with a simple task to see how it handles them.

Then ask your AI: use BugBug Agent Plugin

What your AI can do with it

  • Use BugBug skills while working on your tasks
  • Follow BugBug workflows from start to finish
  • Run BugBug workflows whenever you ask

From the project's README

As published by bugbug-io/agent-plugin in README.md.

Install BugBug's skills and hosted MCP connection into your AI client with the BugBug CLI:

npx @bugbug-io/cli plugin --agent=<agent>

Choose exactly one supported client: cursor, claude, vscode, codex, or copilot. Use --dry-run to preview the installation.

The installer does not accept --token. The AI client you select completes its own MCP OAuth sign-in after installation. The plugin connects to the production endpoint at https://mcp.bugbug.io/mcp.

Features

  • Ready in one command — Set up Claude Code, Codex, Cursor, GitHub Copilot, or VS Code with the BugBug CLI; the selected client completes OAuth sign-in.
  • Turn requirements into coverage — Use BugBug's workflow guidance and live project context to plan coverage, then create tests from an approved plan.
  • Build with live BugBug context — Combine 50 MCP tools and 8 workflow prompts with 9 skills so your agent can inspect the tests, suites, profiles, and project details it needs.
  • Debug from evidence — Investigate failed runs with run details, failure diagnostics, screenshots, and DOM snapshots, guided by a safe debugging workflow.
  • Keep suites reliable as they grow — Review selectors, tests, reusable components, and suites with BugBug-specific guidance before making targeted improvements.
  • Turn run history into decisions — Summarize project and run health for actionable QA and product insights, using live data instead of guesswork.

Skills provide safe workflow guidance; MCP supplies the live BugBug data and actions. Changes to BugBug resources require the user's explicit authorization.

What you get

Skills are available on all BugBug plans. MCP access requires Pro or higher.

Bundled skills

SkillCapability
bugbug-context-discoveringDiscover the BugBug project, repository, and tested-application context.
bugbug-project-reportingCreate read-only project health reports for PM and QA audiences.
bugbug-selectors-authoringAuthor, review, repair, and optimize element selectors.
bugbug-steps-authoringChoose step types and create or update step payloads.
bugbug-test-run-debuggingInvestigate test runs and classify failures.
bugbug-tests-authoringCreate and maintain tests from an approved plan.
bugbug-tests-planningPlan end-to-end and UI test coverage.
bugbug-tests-refactoringAnalyze and refactor tests, groups, components, and suites.
bugbug-yaml-authoringCreate, validate, repair, and explain BugBug YAML.

When to use it

Use the plugin when you want an AI coding client to work with BugBug tests and test results. Use its skills for workflow guidance and its MCP connection for live BugBug data, runs, exports, diagnostics, and explicit mutations.

For the complete MCP registry, see the MCP server docs.

Signals

GitHub stars
4
Last commit
Sep 2026
Advanced
Delivery
mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-bugbug-io-mcp
Source
github.com/bugbug-io/agent-plugin
Hosted endpoint
https://mcp.bugbug.io/mcp