# mcp-taskflow

> Use this tool when you need to manage complex tasks and research workflows for AI agents, providing structured planning and execution tracking. It solves problems of disorganized task management and inefficient research processes by offering guided workflows. The mcp-taskflow tool takes in task plans and research goals as inputs and outputs tracked progress and completed tasks, ideal for use in applications requiring coordinated AI agent activities.

Canonical page: https://skillsregistry.net/skills/calebgerman-mcp-taskflow  
JSON: https://api.skillsregistry.net/v1/skills/calebgerman-mcp-taskflow

## Description

A local MCP server that gives AI agents structured task planning, execution tracking, and guided research workflows.

## Trust

- **Trust score (0–1):** 0.67
- **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/r310938ntl)
- **Repository:** <https://github.com/CalebGerman/mcp-taskflow>

## 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": "calebgerman-mcp-taskflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/calebgerman-mcp-taskflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/calebgerman-mcp-taskflow/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