经 AI Skill Hub 精选评估,Intervals MCP服务器 获评「强烈推荐」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
为Claude和ChatGPT提供与Intervals项目管理平台集成的MCP服务器。支持任务管理、时间追踪、团队协作等功能,适合需要在AI助手中直接操作项目信息的团队和个人开发者。
Intervals MCP服务器 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。
为Claude和ChatGPT提供与Intervals项目管理平台集成的MCP服务器。支持任务管理、时间追踪、团队协作等功能,适合需要在AI助手中直接操作项目信息的团队和个人开发者。
Intervals MCP服务器 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/mvilanova/intervals-mcp-server
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"intervals-mcp---": {
"command": "npx",
"args": ["-y", "intervals-mcp-server"]
}
}
}
# 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 Intervals MCP服务器 执行以下任务... Claude: [自动调用 Intervals MCP服务器 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": {
"intervals_mcp___": {
"command": "npx",
"args": ["-y", "intervals-mcp-server"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API. It provides tools for authentication and data retrieval for activities, events, wellness data, power curves, and custom items.
If you find the Model Context Protocol (MCP) server useful, please consider supporting its continued development with a donation.
uv sync
Activate your virtual environment and sync dependencies:
macOS/Linux:
source .venv/bin/activate
uv sync
Windows (PowerShell):
.venv\Scripts\activate
uv sync
macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows (PowerShell):
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
After installation, find the full path to uv — you'll need it later when configuring Claude Desktop:
```powershell where.exe uv
```
ChatGPT’s beta MCP connectors can also talk to this server over the SSE transport.
/sse and /messages/ endpoints: export FASTMCP_HOST=127.0.0.1 FASTMCP_PORT=8765 MCP_TRANSPORT=sse FASTMCP_LOG_LEVEL=INFO
python src/intervals_mcp_server/server.py
The startup log prints the full URLs (for example http://127.0.0.1:8765/sse). ChatGPT needs that public URL, so forward the port with a tool such as ngrok http 8765 if you are not exposing the server directly.
Intervals.icuhttps://<your-public-host>/sseYou can reuse the same ngrok http 8765 tunnel URL here; just ensure it forwards to the host/port you exported above.
/messages/ endpoint announced by the server. If you restart the MCP server or tunnel, rerun the SSE command and update the connector URL if it changes.```bash
uv venv --python 3.12
Make a copy of .env.example and name it .env by running the following command:
macOS/Linux:
cp .env.example .env
Windows (PowerShell):
Copy-Item .env.example .env
Then edit the .env file and set your Intervals.icu athlete id and API key:
API_KEY=your_intervals_api_key_here
ATHLETE_ID=your_athlete_id_here
Your athlete ID is typically visible in the URL when you're logged into Intervals.icu. It looks like:
https://intervals.icu/athlete/i12345/... where i12345 is your athlete IDTo use this server with Claude Desktop, you need to add it to your Claude Desktop configuration.
intervals-mcp-server directory to configure Claude Desktop:mcp install src/intervals_mcp_server/server.py --name "Intervals.icu" --with-editable . --env-file .env
claude_desktop_config.json, it should look like this:{
"mcpServers": {
"Intervals.icu": {
"command": "/Users/<USERNAME>/.local/bin/uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--with-editable",
"/path/to/intervals-mcp-server",
"mcp",
"run",
"/path/to/intervals-mcp-server/src/intervals_mcp_server/server.py"
],
"env": {
"INTERVALS_API_BASE_URL": "https://intervals.icu/api/v1",
"ATHLETE_ID": "<YOUR_ATHLETE_ID>",
"API_KEY": "<YOUR_API_KEY>",
"LOG_LEVEL": "INFO"
}
}
}
}
Where /path/to/ is the path to the intervals-mcp-server code folder in your system.
The mcp install command may fail on Windows due to environment or permission issues. Instead, configure Claude Desktop manually:
C:\Users\<USERNAME>\AppData\Local\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json
If installed via the standard installer, it may be at:
C:\Users\<USERNAME>\AppData\Roaming\Claude\claude_desktop_config.json
If the file or folder does not exist, create it.
claude_desktop_config.json, replacing the placeholders with your actual values:{
"mcpServers": {
"Intervals.icu": {
"command": "C:\\Users\\<USERNAME>\\.local\\bin\\uv.exe",
"args": [
"run",
"--with",
"mcp[cli]",
"--with-editable",
"C:\\path\\to\\intervals-mcp-server",
"mcp",
"run",
"C:\\path\\to\\intervals-mcp-server\\src\\intervals_mcp_server\\server.py"
],
"env": {
"INTERVALS_API_BASE_URL": "https://intervals.icu/api/v1",
"ATHLETE_ID": "<YOUR_ATHLETE_ID>",
"API_KEY": "<YOUR_API_KEY>",
"LOG_LEVEL": "INFO"
}
}
}
}
\\) for all Windows paths in JSON.uv.exe, run where.exe uv in PowerShell.pwd from inside the intervals-mcp-server folder.Note for Windows Store installs: Claude Desktop installed from the Microsoft Store sandboxes its config underAppData\Local\Packages\.... EditingAppData\Roaming\Claude\claude_desktop_config.jsonwill have no effect — make sure you edit the correct file.
If Claude Desktop fails due to configuration changes, follow these steps:
Intervals.icu entry in claude_desktop_config.json.intervals-mcp-server directory.macOS/Linux:
mcp install src/intervals_mcp_server/server.py --name "Intervals.icu" --with-editable . --env-file .env
Windows: Re-add the entry manually as described in the Windows configuration section.
spawn uv ENOENT — Claude Desktop cannot find the uv executable. Use the full path to uv in the command field. Run which uv (macOS/Linux) or where.exe uv (Windows) to get it.
spawn /Users/... ENOENT on Windows — The config file contains a macOS/Linux-style path. Replace it with the correct Windows path using backslashes as described in the Windows configuration section below.
Windows Store install: config changes not taking effect — You may be editing the wrong config file. Claude Desktop installed from the Microsoft Store reads from AppData\Local\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json, not AppData\Roaming\Claude\.
成熟的MCP实现,为Claude生态提供专业项目管理能力。代码维护活跃,文档完善,270星评分合理,是企业级应用的好选择。
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。
⚠️ GPL 3.0 — 强 Copyleft,衍生作品须开源,含专利保护条款,不可闭源使用。
AI Skill Hub 点评:Intervals MCP服务器 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | intervals-mcp-server |
| 原始描述 | 开源MCP工具:Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the I。⭐270 · Python |
| Topics | MCP项目管理Claude集成ChatGPT集成工作流自动化 |
| GitHub | https://github.com/mvilanova/intervals-mcp-server |
| License | GPL-3.0 |
| 语言 | Python |
收录时间:2026-05-21 · 更新时间:2026-05-22 · License:GPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
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