# Productive

> Use this tool when you need to access and analyze project management data, such as projects, tasks, and team information, to track progress and stay informed. It solves problems related to data visibility, task history, and collaboration by providing read-only access to project data and supporting searches, timelines, and activity feeds. It takes in queries and parameters, and outputs data in flexible formats like JSON and token-optimized streaming.

Canonical page: https://skillsregistry.net/skills/druellan-productive  
JSON: https://api.skillsregistry.net/v1/skills/druellan-productive

## Description

Provides read-only access to Productive.io project management data including projects, tasks, comments, pages, and team information. Supports searching across content, tracking task history with status and assignment timelines, and accessing activity feeds and checklist items. Built with FastMCP and offers flexible output formats including JSON and token-optimized streaming.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/druellan-productive)
- **Repository:** <https://github.com/druellan/productive-simple-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": "druellan-productive"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/druellan-productive` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/druellan-productive/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