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