# agent-todo-mcp

> Use this tool when you need to manage and track tasks across multiple projects, or require project isolation and progress reporting for AI agents. It solves problems of task organization, search, and progress monitoring, and provides features like search and reporting through a Model Context Protocol server interface. This tool is ideal for use cases where AI agents need to handle complex, multi-project workflows and require a centralized task management system.

Canonical page: https://skillsregistry.net/skills/w04m1-agent-todo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/w04m1-agent-todo-mcp

## Description

A Model Context Protocol server for AI agents to manage tasks and track progress across projects, with features like project isolation, search, and reporting.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k64hf8tc26)
- **Repository:** <https://github.com/w04m1/agent-todo-mcp>

## 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": "w04m1-agent-todo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/w04m1-agent-todo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/w04m1-agent-todo-mcp/pull`

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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