T Rush Mcp

io.github.DevDs1989Published by GitHub account DevDs1989v1.0.2Updated Oct 24, 2026

MCP server for t-rush. Exposes TODO/FIXME scanning and streak tracking to AI agents.

The publisher's own server: Rush SR Lap Analyzer

VerifiedSTDIODesktop onlyProductivity & WorkflowDeveloper Tools

Overview

AI-generated overview

Local MCP server that lets an AI coding assistant scan a codebase for TODO/FIXME comments, prioritize them, and mark them resolved while tracking a streak.

What you can do
  • Find and rank open TODO/FIXME comments across a repository, including a raw unranked scan
  • Fuzzy-search existing comments to locate specific tasks
  • Verify a comment was removed from its file and mark it resolved
  • Read the user's current t-rush streak and stats
  • Summarize total technical debt across multiple local repositories
When to use it
Useful when you want an AI coding agent to pick its own work from your technical debt instead of guessing, or to keep a personal streak of resolved TODOs in sync with what the agent fixes.
Requirements
Node.js 18 or newer; installed globally via npm or run through npx as a local stdio process. No accounts, API keys, or environment variables are declared. Reads and writes the local t-rush data file in the user's home directory.
Before you install
Resolving a TODO writes to your local t-rush data file and increments your streak, so agent actions change stored history. The server scans local repositories, so point it only at code you are comfortable exposing to the assistant.

Installation

In SourceWeft

  1. Open T Rush Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[t-rush-mcp]

t-rush-mcp

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.

[npm version] [license]

Why t-rush-mcp?

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.

💻 Want to fix TODOs manually?

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.

Features

  • 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.

Install & Configuration

1. Via npm (Global Install)

You can install the MCP server globally on your machine using npm:

bash
npm install -g @devds1989/t-rush-mcp

2. Manual Configuration

To add this server manually to your client's configuration file (e.g. claude_desktop_config.json):

json
{  "mcpServers": {    "t-rush": {      "command": "npx",      "args": ["-y", "@devds1989/t-rush-mcp"],      "eager": true    }  }}

Or test it directly via npx:

bash
npx -y @devds1989/t-rush-mcp

3. Claude Code

To add this server directly to Anthropic's Claude Code CLI:

bash
claude mcp add t-rush -- npx -y @devds1989/t-rush-mcp

Requirements: Node.js 18+

How it works

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!

Supported languages

t-rush detects TODO and FIXME in all common comment styles:

StyleLanguages
//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

Contributing

Contributions are welcome. Please open an issue before submitting a large PR.

bash
git clone https://github.com/DevDs1989/trush-mcpcd trush-mcpnpm installnpm run build

License

MIT © Dev

Source: README.md at commit 50a192b

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.2LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.

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