# Dooray MCP Server

> Use this tool when you need to integrate project management capabilities into your workflow, enabling seamless task operations, comment management, and user management through natural language interactions with the Dooray API. It solves problems related to team collaboration, task organization, and search functionality, providing a comprehensive project management solution. Ideal for use cases requiring automated project management and team coordination, it accepts natural language inputs and outputs task updates, comments, and user information.

Canonical page: https://skillsregistry.net/skills/tallpizza-dooray-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tallpizza-dooray-mcp

## Description

Enables integration with Dooray API for comprehensive project management including task operations, comment management, tag organization, search functionality, and user management. Supports task creation, modification, status updates, assignee management, and collaborative features through natural language interactions.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kl9iem5uoe)
- **Repository:** <https://github.com/tallpizza/dooray-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": "tallpizza-dooray-mcp"
    }
  }
}
```

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