by GalaxyXieyu · MCP Server · ★ 80
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TickTick MCP Service Bring TickTick task and goal data into MCP workflows with official OAuth and Open API support. Case study · AgentsGalaxy · GitHub connects TickTick (Dida365) data to MCP-friendly workflows, with goal management, task analytics, and automation-friendly interfaces built on top of the official auth and API surface. Why it matters official OAuth 2.0 and Open API support makes the integration easier to trust MCP packaging makes task data more useful inside AI-native workflows the repo is suitable for productivity tooling, research flows, and personal operating systems Quick Start Clone the repo and install Python dependencies. Configure with your client credentials. Run the OAuth helper once to get access and refresh tokens. Start the MCP service and connect it to your editor or automation runtime.
| Stars | 80 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.8132398655211/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-19 |
| Created | 2025-04-26 |
| Platforms | mcp, python |
| Est. Tokens | ~35k |
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didatodolist-mcp is Bring TickTick task and goal data into MCP workflows with official OAuth and Open API support.. It is categorized as a MCP Server with 80 GitHub stars.
didatodolist-mcp is primarily written in Python. It covers topics such as dida365, mcp, oauth.
You can find installation instructions and usage details in the didatodolist-mcp GitHub repository at github.com/GalaxyXieyu/didatodolist-mcp. The project has 80 stars and 11 forks, indicating an active community.
didatodolist-mcp is released under the MIT license, making it free to use and modify according to the license terms.
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