# Taskfolk

> Taskfolk — ai-taskfolk-mcp. Use this tool when you need to streamline team collaboration and AI agent integration for project management, solving problems of task coordination, communication, and workflow optimization. It takes in project plans, task assignments, and team inputs, and outputs organized workflows, progress tracking, and automated notifications. Ideal for teams working on complex projects that require seamless human-AI collaboration and efficient task management.

Canonical page: https://skillsregistry.net/skills/ai-taskfolk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-taskfolk-mcp

## Description

Project management for teams and their AI agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.taskfolk%2Fmcp)
- **Repository:** <https://github.com/taskfolk/mcp>

## Use it

MCP endpoint published by the skill: `https://taskfolk.ai/api/mcp/v1`

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": "ai-taskfolk-mcp"
    }
  }
}
```

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