Check out Piebald

We've released Piebald, the ultimate agentic AI developer experience. \ Download it and try it out for free! https://piebald.ai/

_{Scroll down for Splitrail. :point_down:}

Splitrail

Splitrail is a fast, cross-platform, real-time token usage tracker and cost monitor for: - Gemini CLI (and Qwen Code) - Claude Code - Codex CLI - Cline / Roo Code / Kilo Code (VS Code extension + CLI) - GitHub Copilot (VS Code) - GitHub Copilot CLI - OpenCode - Pi Agent

Run one command to instantly review all of your CLI coding agent usage. Upload your usage data to your private account on the Splitrail Cloud for safe-keeping and cross-machine usage aggregation. From the team behind Piebald.

[!note] ⭐ If you find Splitrail useful, please consider starring the repository to show your support! ⭐

Download the binary for your platform on the Releases page.

Screenshots

Splitrail CLI

Splitrail VS Code Extension

Splitrail Cloud

MCP Server

Splitrail can run as an MCP (Model Context Protocol) server, allowing AI assistants to query your usage statistics programmatically.

splitrail mcp

Available Tools

• get_daily_stats - Query usage statistics with date filtering
• get_model_usage - Analyze model usage distribution
• get_cost_breakdown - Get cost breakdown over a date range
• get_file_operations - Get file operation statistics
• compare_tools - Compare usage across different AI coding tools
• list_analyzers - List available analyzers

Resources

• splitrail://summary - Daily summaries across all dates
• splitrail://models - Model usage breakdown

Configuration

Splitrail stores its configuration at ~/.splitrail.toml:

[server]
url = "https://splitrail.dev"
api_token = "your-api-token"

[upload]
auto_upload = false
upload_today_only = false

[formatting]
number_comma = false
number_human = false
locale = "en"
decimal_places = 2

Development

Windows

On Windows, we use lld-link.exe from LLVM to significantly speed up compilation, so you'll need to install it to compile Splitrail. Example for winget:

winget install --id LLVM.LLVM

Then add it to your system PATH:

:: Command prompt
setx /M PATH "%PATH%;C:\Program Files\LLVM\bin\"
set "PATH=%PATH%;C:\Program Files\LLVM\bin"

or

# PowerShell
setx /M PATH "$env:PATH;C:\Program Files\LLVM\bin\"
$env:PATH = "$env:PATH;C:\Program Files\LLVM\bin\"

Then use standard Cargo commands to build and run:

cargo run

macOS/Linux

Build as normal:

cargo run

License

MIT

Copyright © 2026 Piebald LLC.