Futureweb Intervals MCP

Name: Futureweb Intervals MCP
Author: futureweb

作者：futureweb版本 1.0.0b2i★ –i在你的电脑上运行

注册名称io.github.futureweb/intervals-mcp-server

安装

概览

作者提供的说明（英文原文）

Self-hosted Intervals.icu MCP server: training analytics, Garmin data, wellness, workout planning

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 营销与社交媒体
你需要填写：API_KEY, ATHLETE_ID

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： API_KEY, ATHLETE_ID, MCP_PERMISSIONS, MCP_TOOLSET, ATHLETE_TIMEZONE

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "intervals": {
      "command": "uvx",
      "args": [
        "futureweb-intervals-mcp"
      ],
      "env": {
        "API_KEY": "your-value",
        "ATHLETE_ID": "your-value",
        "MCP_PERMISSIONS": "your-value",
        "MCP_TOOLSET": "your-value",
        "ATHLETE_TIMEZONE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add intervals --env API_KEY=your-value --env ATHLETE_ID=your-value --env MCP_PERMISSIONS=your-value --env MCP_TOOLSET=your-value --env ATHLETE_TIMEZONE=your-value -- uvx futureweb-intervals-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "intervals": {
      "command": "uvx",
      "args": [
        "futureweb-intervals-mcp"
      ],
      "env": {
        "API_KEY": "your-value",
        "ATHLETE_ID": "your-value",
        "MCP_PERMISSIONS": "your-value",
        "MCP_TOOLSET": "your-value",
        "ATHLETE_TIMEZONE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "intervals": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "futureweb-intervals-mcp"
      ],
      "env": {
        "API_KEY": "your-value",
        "ATHLETE_ID": "your-value",
        "MCP_PERMISSIONS": "your-value",
        "MCP_TOOLSET": "your-value",
        "ATHLETE_TIMEZONE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

API_KEY 机密必填 env
Intervals.icu API key (Settings > Developer Settings)
ATHLETE_ID 必填 env
Intervals.icu athlete ID
MCP_PERMISSIONS env
Enabled tool classes: read (default, read-only), read,write, or all (adds destructive and admin tools)
MCP_TOOLSET env
full (every tool of the enabled classes) or core (curated coaching set)
ATHLETE_TIMEZONE env
Time zone for 'today' and default date ranges, e.g. Europe/Vienna; default: the Intervals.icu athlete profile

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 futureweb 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

星标数多于此分类中其他 2957 个服务器的 0%
发布到注册中心的时间比此分类中其他 2957 个服务器的 58% 更新
基础检查结果等于或优于此分类中其他 2957 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Futureweb Intervals MCP 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：API_KEY, ATHLETE_ID

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.0b2）于22天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv), Docker。

有什么可以替代它？

同一分类中有：MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

MCP YouTube Transcript

作者：jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT9天前更新

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作者：surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT9天前更新

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BibiGPT YouTube Video Summarizer

作者：JimmyLv

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT9天前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Futureweb Intervals MCP

Advanced Intervals.icu MCP server for ChatGPT, Claude and every MCP client: Garmin-enriched metrics, every custom field and stream, recovery insights and endurance performance analysis.

A Model Context Protocol server that lets AI assistants read and analyse your Intervals.icu training data the way a coach would: activities with every custom field and stream, intervals, wellness against personal baselines, thresholds and zones, planned-versus-executed workouts, climbs, dual power meters, best efforts, efficiency and fatigue resistance, nutrition and weight, training summaries and the calendar. It runs where you run it, talks only to the Intervals.icu API and exposes nothing that writes unless you enable it.

Continuation of [mvilanova/intervals-mcp-server](https://github.com/mvilanova/intervals-mcp-server).

The original project is no longer actively developed (last commit on 2 August 2026, 29

pull requests left open). This community-maintained fork carries it on: the useful

open pull requests were reviewed and merged with their authors credited, the bugs fixed, and the

server rebuilt around coaching analysis, Garmin data and safe remote access. Not affiliated with

Intervals.icu or Garmin.

Companion project: the Garmin Intervals Bridge puts back the metrics Garmin strips from the files it sends to Intervals.icu (stamina, training effect, recovery time, VO₂max, running dynamics, sleep and HRV details …). This MCP is built to read all of it, but works just as well without the bridge.

For the mountains: intervals-summits writes the summits, huts and passes of your activities into custom fields (Summits, SummitCount). This MCP reads them like any other field, so your assistant knows which summits a tour reached: ask which ones you climbed this year, or how often.

Highlights

Every custom item, resolved dynamically. Custom activity fields, interval fields, streams and wellness fields are read from your own definitions and reported with name, code, value and units. Nothing device-specific is hard-coded; null, NaN, zero and absent stay distinct, fields that do not belong to the sport are kept apart, and device loads are never mixed with the Intervals.icu load.
Streams at full resolution. Any stream as summary, CSV or JSON, sliced by index or time, downsampled and paged, plus per-interval statistics of any stream (for example the stamina drop of each interval).
Coaching analysis instead of raw dumps. One-call activity report, planned versus executed per step (also for deleted events and rides extended beyond the plan), climbs and descents, second power meter check, best efforts, similar intervals, repeated workouts over time, power-to-heart-rate efficiency, fatigue resistance, training load (acute:chronic ratio, monotony, strain), three-zone intensity distribution with polarization index, aerobic durability, load projection over the plan, recovery snapshot with 42-day baselines, wellness trends and correlations, nutrition and weight trends, weekly and monthly summaries. Statistics with their sample sizes; the interpretation stays with the coach.
Token-efficient. detail_level (compact, standard, full) and output_format="json" on the heavy tools, a compact tool catalogue (about 23k tokens for read and write, an optional core set of about 10k), 13 ready-made coaching prompts and method guides as MCP resources and through get_guide.
Safe remote access. Built-in OAuth 2.1 server with "Continue with Intervals.icu" sign-in, a consent page with per-connection permissions, client metadata documents with private_key_jwt (ChatGPT), PKCE and RFC 9207. Streamable HTTP (/mcp) and SSE from one process.
Safe, verifiable writes. Workouts are validated before they are written, dry_run shows the exact request, a second identical event on the same day is refused, and every write reads back what Intervals.icu stored and parsed.
Route-aware outdoor workouts. Steps that end on the lap button (until_lap_press) let you start the next interval where the road suits it, e.g. at the foot of a climb, while the work steps stay timed. Confirmed on a Garmin Edge 1040 on the bike (see below).
Read-only by default. Tools are grouped into permission classes (read, write, destructive, admin) enforced on the server; only read is active unless you enable more.
Tested. More than 1,100 tests on synthetic data, ruff, mypy, CodeQL, pinned GitHub Actions, build and Docker smoke tests on every pull request.

Works with the Garmin Intervals Bridge

Garmin device ──► Garmin Connect ──► official sync ──► Intervals.icu activity (filtered FIT)

│ ▲ └── Garmin Intervals Bridge ──────────┘ restores custom fields, streams, wellness │ Futureweb Intervals MCP (this project) │ ChatGPT / Claude / any MCP client

The Garmin Intervals Bridge writes the metrics Garmin filters out into the custom activity fields, custom streams and wellness fields you defined in Intervals.icu. The MCP reads those definitions at run time, so every restored value shows up in the tools automatically:

Restored by the bridge	Where the MCP shows it
Training effect, EPOC, Garmin training load, recovery time, VO₂max, performance condition, stamina start/end, sweat loss, temperatures	`get_activity_details`, `get_activity_report`, `get_training_summary`, `get_training_load` (device loads apart from the Intervals.icu load), `get_fueling_analysis` (sweat loss per hour), `get_activity_data_audit` (which fields still hold a zero placeholder or no value)
Stamina and potential stamina, second power meter, grade-adjusted speed, gear selection, running dynamics streams	`get_activity_streams`, `get_activity_intervals`, `analyze_workout_execution`, `analyze_climbs`, `compare_power_streams`
Night SpO₂, respiration, sleeping HR, HRV details, Body Battery, sleep stages and stress, readiness, nutrition	`get_wellness_data`, `get_recovery_snapshot`, `get_wellness_trends`, `get_nutrition_summary`

The MCP never contacts Garmin; the bridge is optional and other devices or sync tools that fill custom items get the same treatment. Worked examples and notes on reading the device metrics correctly: docs/GARMIN_BRIDGE.md.

Tools

67 tools; 52 of them only read. Write tools are marked ✎ (write), ✖ (destructive) or ⚙ (admin) and are hidden unless their class is enabled. Most tools accept output_format="json" and detail_level (compact first). Tools never take an API key: credentials come only from the server environment.

The catalogue is kept small for the AI client: short descriptions that say when to use a tool, a description and (where the values are fixed) an enum for every parameter, and text results without a duplicate structured copy. Method details and the workout format live in MCP resources (intervals://methods/ , intervals://workout-syntax) and in get_guide(topic) for clients that only call tools. tools/list is about 22.7k tokens at MCP_PERMISSIONS=read,write (was 42.0k; cl100k); see Tool sets for a smaller set.

Activity analysis

Tool What it does

get_activity_report Complete analysis in one call: overview with fueling (carbs used/ingested per hour, sweat loss, energy), weather (temperature, feels-like, wind, head/tailwind share) and W′ balance (max depletion, time below 75/50/25 % of W′), plan vs execution or intervals, second power meter check, climbs, data-quality notes (source, upload and analysis times, recording stops, zero placeholders); include_route_history compares earlier activities on the same Intervals.icu route (time, power, W/kg, HR, weather, stamina); detail_level compact (core numbers, one context line and key findings, about 2-2.5k characters), standard or full

get_activity_data_audit Provenance and data quality of one activity: source and file (Garmin sync, Garmin export or bridge upload, Strava stub), upload and analysis times, filtered duplicates, recording stops and gaps, FIT laps vs intervals and manual edits, device and sensor identity, streams usual for the sport but missing, per-stream coverage, custom fields with value / zero placeholder / none and what the Garmin Intervals Bridge could fill; without an activity, the per-sport data coverage of a period

| analyze_workout_execution | Planned vs executed per step (duration, target adherence, time in range, HR response, fade, Pw:HR drift with the Intervals.icu decoupling sign, stamina). A step ma

只显示了开头部分；其余内容请在仓库中阅读

Futureweb Intervals MCP

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“营销与社交媒体”中的其他服务器比较i

常见问题

替代选择

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

作者的 README

Futureweb Intervals MCP

Contents

Highlights

Works with the Garmin Intervals Bridge

Tools