Dooray
NHN Dooray 서비스의 MCP 서버를 제작합니다.
What is Dooray?
Dooray is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to nhn dooray 서비스의 mcp 서버를 제작합니다.
NHN Dooray 서비스의 MCP 서버를 제작합니다.
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- NHN Dooray 서비스의 MCP 서버를 제작합니다.
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx doorayConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Dooray
The Dooray MCP Server integrates NHN Dooray's project management platform with AI assistants via the Model Context Protocol. It exposes 19 tools covering wiki pages, project tasks, comments, and member management, enabling AI clients to create and update tasks, post comments, manage wiki content, and query project workflows — all against the Dooray REST API using a Bearer token.
Prerequisites
- Java 17 or higher installed (for building from source), or Docker
- An active NHN Dooray account with API access
- A Dooray API Key (Bearer token) from your Dooray settings
- The Dooray base URL for your organization (e.g., https://api.dooray.com)
- Claude Desktop or another MCP-compatible client
Pull and run with Docker (recommended)
The easiest way to run the Dooray MCP server is via the published Docker image. Pass your API key and base URL as environment variables.
docker pull bifos/dooray-mcp:latest
docker run -e DOORAY_API_KEY="your_api_key_here" \
-e DOORAY_BASE_URL="https://api.dooray.com" \
bifos/dooray-mcp:latestBuild from source (alternative)
Clone the repository and build a fat JAR using Gradle's shadowJar task, then run it directly.
git clone https://github.com/jon890/dooray-mcp-server.git
cd dooray-mcp-server
./gradlew clean shadowJar
java -jar build/libs/dooray-mcp-server-0.4.1-all.jarConfigure environment variables
Set the required environment variables. DOORAY_API_KEY and DOORAY_BASE_URL are mandatory. Optional variables control logging and caching behavior.
export DOORAY_API_KEY=your_api_key_here
export DOORAY_BASE_URL=https://api.dooray.com
export DOORAY_LOG_LEVEL=WARN
export DOORAY_PROJECT_CACHE_TTL_MINUTES=5Add the server to Claude Desktop config
Configure Claude Desktop to run the Dooray MCP server via Docker. Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
{
"mcpServers": {
"dooray": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "DOORAY_API_KEY=your_api_key_here",
"-e", "DOORAY_BASE_URL=https://api.dooray.com",
"bifos/dooray-mcp:latest"
]
}
}
}Restart Claude Desktop and verify
Restart Claude Desktop and confirm the dooray server appears in the tools panel with 19 available tools.
Dooray Examples
Client configuration
Complete claude_desktop_config.json entry running the Dooray MCP server via Docker.
{
"mcpServers": {
"dooray": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "DOORAY_API_KEY=your_api_key_here",
"-e", "DOORAY_BASE_URL=https://api.dooray.com",
"bifos/dooray-mcp:latest"
]
}
}
}Prompts to try
Example natural language prompts to use with the Dooray MCP server once configured.
- "List all my Dooray projects"
- "Show me the open tasks in project my-project"
- "Create a new task called 'Fix login bug' in project my-project with high priority"
- "Add a comment to task post-id-123 saying 'Fixed in PR #42'"
- "List all wiki pages in project my-project"
- "Update the wiki page page-id-456 with the new architecture diagram description"Troubleshooting Dooray
Authentication error or 401 Unauthorized from Dooray API
Verify DOORAY_API_KEY contains a valid Bearer token from your Dooray account. Go to Dooray Settings > Personal Access Token to generate or retrieve your key. Ensure DOORAY_BASE_URL matches your organization's Dooray domain.
Docker container exits immediately when run from Claude Desktop
Ensure the -i flag is included in docker run args so the container stays attached to stdin for MCP stdio transport. Without -i the container exits immediately. Also confirm Docker daemon is running before starting Claude Desktop.
Project list is stale or new projects are not appearing
The server caches project data for DOORAY_PROJECT_CACHE_TTL_MINUTES minutes (default: 5). Set DOORAY_PROJECT_CACHE_TTL_MINUTES=1 for near-real-time updates, or restart the container to clear the cache immediately.
Frequently Asked Questions about Dooray
What is Dooray?
Dooray is a Model Context Protocol (MCP) server that nhn dooray 서비스의 mcp 서버를 제작합니다. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Dooray?
Follow the installation instructions on the Dooray GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Dooray?
Dooray works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Dooray free to use?
Yes, Dooray is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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