AI Skill Hub 推荐使用:Todoist MCP工具 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
Todoist MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
Todoist MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/Doist/todoist-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"todoist-mcp--": {
"command": "npx",
"args": ["-y", "todoist-mcp"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 Todoist MCP工具 执行以下任务... Claude: [自动调用 Todoist MCP工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"todoist_mcp__": {
"command": "npx",
"args": ["-y", "todoist-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Note: This package was previously named@doist/todoist-ai. The old name continues to work as a thin shim that re-exports from@doist/todoist-mcp, but new installs should use@doist/todoist-mcpdirectly.
Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs, enabling them to access and modify a Todoist account on the user's behalf.
These tools can be used both through an MCP server, or imported directly in other projects to integrate them to your own AI conversational interfaces.
A key feature of this project is that tools can be reused, and are not written specifically for use in an MCP server. They can be hooked up as tools to other conversational AI interfaces (e.g. Vercel's AI SDK).
This project is in its early stages. Expect more and/or better tools soon.
Nevertheless, our goal is to provide a small set of tools that enable complete workflows, rather than just atomic actions, striking a balance between flexibility and efficiency for LLMs.
For our design philosophy, guidelines, and development patterns, see docs/tool-design.md.
npm install @doist/todoist-mcp
The Todoist MCP server is available as a streamable HTTP service for easy integration with various AI clients:
Primary URL (Streamable HTTP): https://ai.todoist.net/mcp
https://ai.todoist.net/mcp and complete OAuth authenticationCreate a configuration file:
~/.cursor/mcp.json.cursor/mcp.json{
"mcpServers": {
"todoist": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://ai.todoist.net/mcp"]
}
}
}
Then enable the server in Cursor settings if prompted.
The fastest setup is the official Todoist plugin, which wires up the MCP server for you:
/plugin marketplace add doist/todoist-mcp
/plugin install todoist@doist
OAuth runs in your browser the first time you use a Todoist tool. See Anthropic's plugin docs for more.
If you'd rather configure the MCP server manually, run:
claude mcp add --transport http todoist https://ai.todoist.net/mcp
Then launch claude, execute /mcp, and select the todoist MCP server to authenticate.
{
"servers": {
"todoist": {
"type": "http",
"url": "https://ai.todoist.net/mcp"
}
}
}
npx -y mcp-remote https://ai.todoist.net/mcp
For more details on setting up and using the MCP server, including creating custom servers, see docs/mcp-server.md.
See docs/mcp-server.md for full instructions on setting up the MCP server.
See docs/dev-setup.md for full setup instructions and CONTRIBUTING.md for contributor workflows and quality checks.
You can run the MCP server directly with npx:
npx @doist/todoist-mcp
After cloning and setting up the repository:
npm start - Build and run the MCP inspector for testingnpm run dev - Development mode with auto-rebuild and restartnpm run tool:list - List available tools for direct executionnpm run tool -- <tool-name> '<json-args>' - Run a tool directly without MCPWhen using npm run tool, include -- before tool arguments so npm forwards them to scripts/run-tool.ts.
Example check before write operations: npm run tool -- user-info '{}' This confirms which Todoist account the current TODOIST_API_KEY is connected to.
run-tool uses TODOIST_API_KEY from your .env file (created from .env.example by npm run setup). Use a test account or a temporary project when running write operations to avoid modifying real data.
高质量的MCP工具,连接AI代理与Todoist
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,Todoist MCP工具 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | todoist-mcp |
| 原始描述 | 开源MCP工具:A set of tools to connect to AI agents, to allow them to use Todoist on a user's。⭐500 · TypeScript |
| Topics | mcptodoisttypescript |
| GitHub | https://github.com/Doist/todoist-mcp |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-31 · 更新时间:2026-05-31 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端