# Dooray MCP Server

> Use this tool when you need to manage Dooray tasks efficiently using natural language inputs, enabling seamless query, creation, and modification of tasks. It solves problems related to task management, automation, and integration with Claude Code. The tool accepts natural language queries as inputs and outputs modified or created tasks, making it ideal for streamlining workflow management.

Canonical page: https://skillsregistry.net/skills/ariri48-dooray-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ariri48-dooray-mcp

## Description

Enables Claude Code to query, create, and modify Dooray tasks via natural language.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **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/jypdz7jkc7)
- **Repository:** <https://github.com/ariri48/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": "ariri48-dooray-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ariri48-dooray-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ariri48-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