Make Your Debugging Workflow Smarter, Faster with BugSnag and SmartBear MCP

Tired of wasting hours triaging errors and digging through logs?  

With BugSnag from SmartBear and GitHub Copilot, you can now debug faster : AI surfaces the root cause, explains the issue, and helps you fix it – all from your IDE. 

Powered by SmartBear’s integration with the Model Context Protocol (MCP), and bringing runtime context into your development tools, errors from BugSnag are automatically enriched with the technical metadata your LLM needs to deliver accurate, relevant suggestions. 

Under the hood, SmartBear provides a self-hosted MCP server that connects seamlessly with API Hub, BugSnag, and Test Hub, making your entire observability and debugging workflow smarter, faster, and AI-ready.  

See it in action: 

Getting Started: From Install to Insight in Minutes 

Getting SmartBear’s MCP server running is fast and IDE-friendly. It’s published on npm and can be added to most environments with minimal setup.  

• In VS Code, open the Command Palette  

• Run MCP: Add Server… 

•  Choose “NPM Package” 

• Paste package name: @smartbear/mcp 

Once installed, start the server. You’ll be prompted to enter an auth token. This connects your local environment to your BugSnag organization. Generate it under Dashboard → My Account → Personal Auth Token. To focus context on a single project, enter your project-specific API key when prompted. This is available under Project Settings → API Key. This step ensures MCP retrieves error data and metadata scoped to the most relevant codebase. 

From here, AI-powered triage, investigation, and code suggestions will be available right in your IDE, bringing BugSnag’s production insights directly into your dev workflow. For more comprehensive setup instructions and integration with other SmartBear tools, check the setup documentation or browse the source code on GitHub. 

Your Fix Workflow, Supercharged with AI 

Once your MCP server is running, Copilot becomes more than just an autocomplete tool. It becomes your bug-fixing partner. Just open the Copilot prompt and ask natural language questions like: 

• “What errors happened in the last week?” to quickly see recent production issues without digging through dashboards. 

• “Tell me more about error 67ed3720e9112f66a7bf8673”  to get deep context: stack traces, logs, affected users, all inline. 

•  “Get me the details of [error URL]” and paste any Insight Hub error URL to pull rich metadata directly into your workspace. 

• “Help me fix this error” will generate fix suggestions based on error context and your codebase. 

• “Mark this error as fixed” and close the loop without switching tools. 

This workflow eliminates the back-and-forth between tools, reduces time to resolution, and keeps you in flow, so you can spend less time triaging and more time shipping. 

Help Shape the Future of AI-Driven Debugging 

We recently launched the SmartBear Community for our MCP server. This is your space to connect with fellow innovators, swap ideas, and get inspired by how others are using MCP in creative ways. 

MCP tooling is advancing fast. While our server is still in beta, the potential is huge. By joining the community, you’ll get early insights, learn about other use cases, and help shape the future of SmartBear MCP with your feedback. We want to hear how you’re using it, what prompts excite you the most, and what features you want to see. 

Jump in and help build what’s next!