🤖 MCP Integration
Connect Sniffer to AI assistants like Claude, Cursor, and VS Code via Model Context Protocol for AI-assisted bug triage, summarization, and code fix suggestions.
🌟 Overview
MCP (Model Context Protocol) is an open standard that allows AI assistants to interact with external tools programmatically. Sniffer’s MCP integration enables AI assistants to read bugs, create issues, update statuses, add comments, and search your project — bringing AI-powered automation into your defect tracking workflow.
Setup documentation is available in your project at Settings → MCP Docs (available for Support organization projects).
🔧 Setup
Prerequisites
- An AI tool that supports MCP (Claude Desktop, Cursor, VS Code with MCP extension)
- A Sniffer account with API access
- Project-level permissions
Configuration Steps
- Navigate to Settings → MCP Docs in your Sniffer project
- Copy the MCP server configuration
- Add it to your AI tool’s MCP settings
- Authenticate with your Sniffer API token
- The AI assistant can now interact with your Sniffer project
🛠️ Available Operations
💡 Use Cases
🔍 AI Pair Programming
Ask your AI assistant questions about your bugs:
- “What’s the highest priority bug in project SNF?”
- “Show me all unresolved bugs assigned to me”
- “Summarize the console logs for bug SNF-142”
🤖 Automated Triage
AI reads new bugs and suggests:
- Priority level based on error severity
- Assignee based on affected code area
- Tags based on error patterns
📝 Bug Summarization
AI generates summaries of bug clusters:
- “What are the common themes across this week’s bugs?”
- “Create a summary of all critical bugs for the standup”
🔧 Code Fix Suggestions
AI analyzes bug context (console logs, network failures, stack traces) and suggests fixes:
- “Based on the stack trace in SNF-142, what might be causing this null pointer?”
- “The network log shows a 403 — what’s the likely auth issue?”