# mcp-code-todo

> Use this tool when you need to identify and manage pending tasks in your codebase, as it scans for TODO comments and provides structured data for AI assistants to inspect, prioritize, and propose fixes, streamlining code maintenance and improvement. It takes in codebases as input and outputs a list of TODO comments with relevant context, enabling efficient issue tracking and resolution. Ideal for use during code reviews, refactoring, and project planning.

Canonical page: https://skillsregistry.net/skills/ashhitch-mcp-code-todo  
JSON: https://api.skillsregistry.net/v1/skills/ashhitch-mcp-code-todo

## Description

Scans codebases for TODO comments and exposes them as structured data to LLMs, enabling AI assistants to inspect, prioritize, and propose fixes.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vljafmaxnn)
- **Repository:** <https://github.com/ashhitch/mcp-code-todo>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ashhitch-mcp-code-todo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashhitch-mcp-code-todo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashhitch-mcp-code-todo/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt