BugBug MCP Server

Overview

The BugBug MCP Server is an unofficial, TypeScript‑based implementation that exposes the full breadth of the BugBug test automation platform to AI assistants via the Model Context Protocol. By turning BugBug’s RESTful API into a set of declarative tools, it lets Claude, Windsurf, GitHub Copilot, and other AI assistants interact with tests, suites, runs, and profiles as first‑class entities. This eliminates the need for custom scripts or manual API calls when building AI‑driven QA workflows, streamlining the process from test selection to execution and monitoring.

Problem Solved

Modern development teams increasingly rely on AI assistants for code review, documentation, and even test orchestration. However, most AI tools lack native access to external testing platforms, forcing developers to write boilerplate code or use command‑line utilities. The BugBug MCP Server bridges this gap by providing a unified, typed interface that AI assistants can invoke directly. It removes friction in integrating BugBug’s rich feature set—such as intelligent test matching, batch operations, and real‑time status updates—into conversational workflows.

What the Server Provides

The server exposes a comprehensive suite of tools grouped into logical categories:

• Advanced Tools: Operations like waiting for test or suite completion, explaining errors with contextual documentation, and listing recent runs. These enable AI assistants to manage test lifecycles without polling or manual intervention.
• Profiles: Retrieval and inspection of BugBug run profiles, allowing AI to select the appropriate configuration for a given scenario.
• Tests & Test Suites: CRUD operations on individual tests, batch updates, and search capabilities. This empowers AI assistants to modify test definitions or create new tests on the fly.
• Real‑time Monitoring: Live status updates for test and suite executions, giving AI assistants immediate feedback on progress or failures.

All tools are defined with clear parameter schemas and return types, ensuring type safety and predictable behavior when used by AI assistants.

Use Cases & Real‑World Scenarios

• Automated Test Triggering: An AI assistant can parse a pull request, identify impacted tests by name or UUID, and launch them with the correct profile—all within a single conversation.
• Error Diagnostics: When a test fails, an assistant can invoke to fetch detailed stack traces and documentation, presenting actionable insights to developers.
• Batch Operations: Teams can use with a list of test identifiers to execute multiple tests concurrently, while the assistant monitors completion via .
• Continuous Integration Hooks: CI pipelines can be augmented with AI‑driven decision making, such as automatically retrying flaky tests or triggering smoke tests after a deployment.

Integration with AI Workflows

Developers configure the server in their MCP settings, supplying an API key and command to launch the TypeScript package. Once registered, AI assistants can call any exposed tool by name, passing JSON parameters that match the defined schema. The assistant’s context automatically includes relevant data (e.g., test details, run results), enabling richer interactions such as summarizing failures or suggesting fixes. Because the server is written in TypeScript, it benefits from static typing and modern development practices, reducing runtime errors when integrated into complex AI pipelines.

Unique Advantages

• Full BugBug API Coverage: Unlike generic test runners, the server offers direct access to every endpoint in BugBug’s API, from suite execution to profile management.
• Intelligent Matching: The tool uses fuzzy matching to locate tests by partial names or UUIDs, simplifying test selection for AI assistants.
• Real‑time Feedback: Built‑in polling tools (, ) provide live status updates without external orchestration.
• Type Safety & Modern Stack: Implemented in TypeScript, the server guarantees robust type checking and aligns with contemporary JavaScript ecosystems.

In summary, the BugBug MCP Server transforms the way AI assistants interact with test automation by offering a rich, typed interface that covers every aspect of BugBug’s platform. It empowers developers to build conversational test workflows, automate diagnostics, and integrate testing seamlessly into their AI‑augmented development pipelines.