Integrate the MCP Server
SF Veritas includes an MCP (Model Context Protocol) server that enables AI coding assistants to query your application's telemetry data. This allows AI tools to help debug issues, analyze performance, and understand your application's behavior using real execution data.
What is MCP?
The Model Context Protocol is an open standard that enables AI applications to connect to external data sources and tools. The SF Veritas MCP server exposes your local telemetry data to AI coding assistants, allowing them to:
- Query function execution traces and performance metrics
- Analyze console logs and exceptions
- Inspect HTTP requests and responses
- Identify performance bottlenecks and N+1 patterns
- Debug errors with full stack traces and context
Prerequisites
Before configuring an AI coding assistant, ensure you have:
- SF Veritas Desktop App installed - The MCP server is bundled with the Desktop App
- Telemetry data available - Run your instrumented application at least once to generate data
- Data is stored in
~/.sailfish/telemetry.db
- Data is stored in
- Node.js 18+ - Required to run the MCP server
MCP Server Location
The MCP server is bundled with the Desktop App.
| Platform | Path |
|---|---|
| macOS | /Applications/SF Veritas.app/Contents/Resources/mcp-server/index.js |
| Windows | %LOCALAPPDATA%\Programs\SF Veritas\resources\mcp-server\index.js |
| Linux (.deb) | /opt/SF Veritas/resources/mcp-server/index.js |
Quick Reference
| AI Tool | Config Location | Project-Level | Global | Format |
|---|---|---|---|---|
| Claude Code | .mcp.json | Yes | Yes (~/.claude.json) | JSON |
| OpenAI Codex | ~/.codex/config.toml | No | Yes | TOML |
| Cursor | .cursor/mcp.json | Yes | Yes (~/.cursor/mcp.json) | JSON |
| VS Code + GitHub Copilot | .vscode/mcp.json | Yes | No | JSON |
Configuration Guides
- Claude Code - Anthropic's CLI coding assistant
- OpenAI Codex - OpenAI's CLI coding assistant
- Cursor - AI-first code editor
- VS Code + GitHub Copilot - GitHub Copilot with MCP support