The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the T Rush MCP listing page.
Speedrun your technical debt, now powered by AI.
An MCP (Model Context Protocol) server that exposes the power of t-rush directly to AI coding assistants like Antigravity, Claude, and others. Let your AI agents find, prioritize, and fix TODO · FIXME · BUG comments across your codebase.
AI coding agents are great at fixing bugs, but they often struggle to know what to work on when left unattended. t-rush-mcp bridges this gap by exposing your codebase's technical debt directly to the AI through standard MCP tools.
Agents can now query your project for open TODOs, filter them by keyword, prioritize the oldest debt, and even increment your personal t-rush completion streak when they successfully resolve them.
Try the t-rush CLI to speedrun your own TODOs! Pick a bug, start a timer, fix the code, and build a massive completion streak yourself.
find_todos: Feeds the agent all open TODO/FIXME comments so it can rank them by age and severity natively.search_todos: Allows the agent to fuzzy-search existing comments to find specific tasks.resolve_todo: Verifies the comment has been removed from the file and automatically increments the t-rush streak.scan_todos_raw: Returns an unranked, raw list of all tech debt in a repository.get_streak_status: Exposes the user's current streak and stats to the agent.aggregate_debt: Summarizes the total debt across multiple local repositories.You can install the MCP server globally on your machine using npm:
To add this server manually to your client's configuration file (e.g. claude_desktop_config.json):
Or test it directly via npx:
To add this server directly to Anthropic's Claude Code CLI:
Requirements: Node.js 18+
t-rush-mcp uses the shared @devds1989/trush-core logic to scan your codebase using the exact same parsers as the t-rush CLI. All streak updates and history modifications made by the AI agent are instantly synchronized with your local ~/.t-rush/data.json database.
When an AI agent resolves a TODO, it increments your streak—teamwork!
t-rush detects TODO and FIXME in all common comment styles:
| Style | Languages |
|---|---|
// | JavaScript, TypeScript, Go, Rust, C, C++, Java, Kotlin, Swift, Dart |
# | Python, Ruby, Shell, YAML, R, Perl, Elixir, Crystal |
-- | SQL, Lua, Haskell, Ada |
% | Erlang, LaTeX |
; | Lisp, Clojure, Assembly |
* | Inside /* */ block comments |
Contributions are welcome. Please open an issue before submitting a large PR.
MIT © Dev