Dida365 MCP Server
@DCjanus
关于 Dida365 MCP Server
mcp server for dida365.com
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dida365": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"--pull",
"always",
"ghcr.io/dcjanus/dida365-mcp-server:latest",
"dida365-mcp-server",
"-access_token",
"<YOUR_ACCESS_TOKEN>"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Dida365 MCP Server?
Dida365 MCP Server is an MCP (Model Context Protocol) server implementation for Dida365, a task management service. It uses the Dida365 Official API and OAuth 2.0 authentication to allow MCP clients to interact with Dida365 data.
How to use Dida365 MCP Server?
First, obtain an access token via the recommended online service at https://dida365.dcjanus.com/oauth/login or by locally deploying an OAuth callback server. Then, add the server configuration to your MCP client, running the Docker image ghcr.io/dcjanus/dida365-mcp-server:latest with your access token passed as a command argument.
Key features of Dida365 MCP Server
- Official OAuth 2.0 authentication mechanism
- Standard MCP Server interface
- STDIO-based MCP Server implementation
- Docker-based deployment
Use cases of Dida365 MCP Server
- Integrate Dida365 task management with AI assistants via MCP
- Automate task creation, listing, or updates from MCP clients
- Build custom MCP workflows that interact with Dida365
FAQ from Dida365 MCP Server
What is the Dida365 MCP Server?
It is an MCP server that exposes Dida365’s official API through the Model Context Protocol, enabling MCP-compatible clients to access Dida365 data.
How do I get an access token?
Visit https://dida365.dcjanus.com/oauth/login in your browser (recommended) or locally deploy the OAuth callback server. Follow the authorization steps to receive a JSON response containing the access_token.
How do I configure the server?
Add the configuration block to your MCP client settings, using the Docker command with your access token as shown in the README.
Is my access token secure?
Keep your access token secure and never share it with others. The README warns that if authorization fails, check your network connection or try reauthorizing.
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