new-analyzer
Guide for adding a new AI coding agent analyzer to Splitrail. Use when implementing support for a new tool like Copilot, Cline,…
@piebald-aiInstall SkillDevelopment
Skill
/mcp
Guide for working with Splitrail's MCP server. Use when adding tools, resources, or modifying the MCP interface.
Claude Code
$ npx -y skills add Piebald-AI/splitrail --skill mcp --agent claude-code
Codex
$ npx skills add Piebald-AI/splitrail --skill mcp -a codex -y
Cursor
$ npx skills add Piebald-AI/splitrail --skill mcp -a cursor -y
Gemini CLI
$ npx skills add Piebald-AI/splitrail --skill mcp -a gemini-cli -y
GitHub Copilot
$ npx skills add Piebald-AI/splitrail --skill mcp -a github-copilot -y
OpenCode
$ npx skills add Piebald-AI/splitrail --skill mcp -a opencode -y
Windsurf
$ npx skills add Piebald-AI/splitrail --skill mcp -a windsurf -y
SKILL.md
mcp.SKILL.mdname: mcp description: Guide for working with Splitrail's MCP server. Use when adding tools, resources, or modifying the MCP interface.
MCP Server
Splitrail can run as an MCP server, allowing AI assistants to query usage statistics programmatically.
cargo run -- mcp
Source Files
- `src/mcp/mod.rs` - Module exports
- `src/mcp/server.rs` - Server implementation and tool handlers
- `src/mcp/types.rs` - Request/response types
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
Adding a New Tool
1. Define the tool handler in `src/mcp/server.rs` using the `#[tool]` macro 2. Add request/response types to `src/mcp/types.rs` if needed
See existing tools in `src/mcp/server.rs` for the pattern.
Adding a New Resource
1. Add URI constant to `resource_uris` module in `src/mcp/server.rs` 2. Add to `list_resources()` method 3. Handle in `read_resource()` method
Ships withsplitrail
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 / Zoo Code / Kilo Code (VS Code extension + CLI) GitHub Copilot (VS Code) GitHub Copilot CLI OpenCode Pi
2296 skills
Stars on GitHub
Momentum
- stars in total
- 229
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Questions about mcp.
- Which coding agents can use mcp?
- mcp installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.