原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Almost Fire

作者:davidgibbon1版本 1.3.1i★ –i在云端运行
注册名称com.almostfire/strength-training

安装

概览

作者提供的说明(英文原文)

Strength training plans for 26 weeks, plus set, meal and progress logging in Almost Fire.

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。

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://strength.almostfire.com/api/mcp

在终端中运行这条命令

claude mcp add --transport http strength-training https://strength.almostfire.com/api/mcp

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": {
    "strength-training": {
      "url": "https://strength.almostfire.com/api/mcp"
    }
  }
}

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": {
    "strength-training": {
      "type": "http",
      "url": "https://strength.almostfire.com/api/mcp"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://strength.almostfire.com/api/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • make_plan

    Use this when someone asks for a strength, gym, weightlifting or muscle-building program or workout plan, at a gym or at home. Builds all 26 weeks from Almost Fire's plan engine, the one the app uses: the split for their days, each session's exercises with sets, reps, rest and ef

  • save_plan

    Use this when the person wants to keep, save or start a plan make_plan made, or presses Save on its card. Saves the plan to their Almost Fire account, free: the first time it asks them to sign in, which makes their account. Send the answers make_plan used, so the saved plan is th

  • show_exercise

    Use this when someone asks how to do an exercise, which muscles it works, or what to do instead. Shows it on the body map with its equipment, its cues and swaps that train the same thing. No account needed. Do not use to diagnose pain or to give rehab exercises.

  • get_today

    Use this when the person asks what's on today or how today's session is going, and before logging a set. Reads today's session (or the next one) in their Almost Fire account with every exercise, its target and the sets logged, this week's sessions and training volume, and their f

  • get_schedule

    Use this when the person asks what's coming up this week or next, or what they did on other days. Lists their sessions between two ISO times (from, to), each with its id, day, time and status. Do not use for today's session; use get_today.

  • get_session

    Use this when you need one session in full, by its id from get_today or get_schedule. Reads its exercises (slots) with each target, the exercises each slot allows, and the sets logged. Do not use to list sessions; use get_schedule.

  • log_set

    Use this when the person tells you a set they did. Give the session and slot from get_today or get_session, and the load and reps they said. Never invent a number. loadUnit kg or lb as they said it (label for a machine's own numbers); rir only if they say it. setNumber null logs

  • edit_set

    Use this when the person corrects a set they already logged. Give its setId from get_today or get_session and only the values they change; null keeps the rest. Comes back with an Undo. Do not use to log a new set; use log_set.

  • delete_set

    Use this when the person asks to remove a set they logged by mistake. Give its setId. Comes back with an Undo. Do not use to change a set's numbers; use edit_set.

  • list_alternatives

    Use this when the person wants a different exercise in a session (a busy machine, a sore joint, missing kit). Lists the swaps that train the same movement in that slot and week, best first, by sessionId and slot. Nothing changes; swap with swap_exercise. Do not use to explain how

  • swap_exercise

    Use this when the person asks to swap the exercise in a session. Give the sessionId and slot, and the exerciseKey they chose, or a same-movement one from list_alternatives when they leave it to you. The new exercise brings its own rules, and loads never carry over between exercis

  • update_session

    Use this when the person starts, finishes or skips a session, or says how it felt. status IN_PROGRESS starts it, DONE finishes it and SKIPPED skips it; feeling is 1 to 5; notes and gym as they say. Null leaves a field as it is. Comes back with an Undo. Do not use to move a sessio

  • move_session

    Use this when the person asks to move a session to another day or time. Give its sessionId and the new start and end as ISO times. Comes back with an Undo. Do not use to skip a session; use update_session.

  • log_cardio

    Use this when the person tells you about cardio they did: a run, a ride, the rower, a walk. Record cardio the person did, with the numbers they give: minutes always; distance, heart rate, level, incline, energy and intervals only when given. Never invent them. effort is a talk te

  • record_checkin

    Use this when the person says how they feel before or after training, or tells you about pain or swelling. Record the person’s reported readiness and symptoms. symptoms.pec is pain anywhere (sharp means sharp pain or pulling) and symptoms.knee is swelling anywhere, whatever the b

  • log_weight

    Use this when the person tells you their weight. Give the weight and unit, and when (null is now). Targets follow the smoothed trend, never one reading. Comes back with an Undo. Do not use to set a weight goal.

  • open_camera

    Use this when the person wants to log a meal from a photo but hasn't attached one, or the app can't hand you their photo. Opens the Almost Fire camera in the chat: they take or choose a photo there, Stoke reads each food with its grams and calories, and Log saves it. Do not use w

  • read_meal_photo

    Use this when the person attaches a photo of food they ate or will eat. Reads it as the Almost Fire camera does: a plate or bowl comes back as each food with its grams, calories, macros and how sure the read is; a packet as its label per 100 g; a pot on a kitchen scale as its gra

  • read_meal_photo_upload

    The Almost Fire camera card's photo, read as read_meal_photo reads one. Only the card calls it.

  • search_foods

    Use this when the person tells you a food they ate without a photo, before log_foods. Find the person's own foods before anything else, by name or by kind: the words they used ("protein powder", "milk", "my usual bread"), not a brand you guess. mine is their saved foods that fit,

  • log_foods

    Use this when the person has agreed what they ate and wants it logged. One entry per food: from a photo read (read_meal_photo's logItems, with their corrections), a saved food or recipe by id and grams (from search_foods), or an estimate with a name, serving, quantity and its num

  • delete_food_entry

    Use this when the person asks to remove a food they logged by mistake. Give its entry id from get_nutrition. Comes back with an Undo. Do not use for a food they still ate; log the right amount instead.

  • get_nutrition

    Use this when the person asks what they've eaten or how their calories and protein are going, and before removing a logged food. Reads a day's food (date null is today): every entry with its id, the totals against the day's targets, their usual foods and saved recipes, and the we

  • show_progress_chart

    Use this when the person asks to see their progress on a graph. Draws one of their Progress graphs from their records: lift_max or lift_volume per session for one exercise (key), weekly_volume, body_weight (90 days), cardio_distance, cardio_pace or cardio_heart_rate, daily_kcal o

  • get_progress

    Use this when the person asks how they're progressing, in numbers. Reads their Progress page: training volume by week, bests, each lift's estimated max and trend, sessions done, bodyweight and cardio, as the app shows them. Do not use for a graph; use show_progress_chart.

  • get_weekly_review

    Use this when the person asks how their week went or what changes next week. Reads the Sunday review of a program week (null is the latest): sessions, volume, new bests, the pace, each change Stoke made to next week with its reason, and what was kept and why. Those changes follow

  • undo_review_change

    Use this when the person doesn't want one of the changes the Sunday review made to next week. Give the change's index from get_weekly_review. Next week goes back to the program's target for that change. Do not use for a change they made themselves; use undo.

  • undo

    Use this when the person wants to take back a change made here (a logged set, meal, weigh-in or any other) while its Undo is open. Give the undo.id the change came back with. Do not use for a change they made in the Almost Fire app itself.

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 almostfire.com 验证(注册中心会核实域名所有权)

  • … 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

  • ✓ 通过

    端点有响应

    在 312 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 28 个工具描述,未发现针对 AI 的隐藏指令

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4930 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4930 个服务器的 100% 更新
  • 基础检查结果等于或优于此分类中其他 4930 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

Almost Fire 安全吗?

它在 3 项适用的基础检查中通过了 3 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.3.1)于今天进入注册中心。

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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

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:↓ 每周下载量i★ 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

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者:github广泛使用★ 3.4万5天前更新

电脑或云端

Desktop Commander

MCP server for terminal commands, file operations, and process management

作者:wonderwhy-er广泛使用↓ 71万/周★ 1万17天前更新

在你的电脑上运行

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare正在增长★ 444614个月前更新

在云端运行✓ mcp.cloudflare.com

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。

Almost Fire for ChatGPT and Claude

Almost Fire makes strength-training plans and runs them with you. Ask for a plan and you get all 26 weeks from the engine the Almost Fire app uses: a split for the days you have, every session's exercises with sets, reps, rest and effort, a lighter week to finish each block, and gentler swaps for a shoulder, back or knee you want to protect. Print it, save it as a PDF or change it in the chat, and look up any exercise on the body map with its cues and swaps. None of that needs an account, and saving the plan to Almost Fire is free: the first time, it makes your account.

With your Almost Fire account you can run the plan from the chat: today's session with each set's target, logging sets, cardio and weigh-ins, logging a meal from a photo with its grams, calories and protein, and your progress graphs and Sunday review. Every change comes back with Undo.

It's for adults who want to get stronger in a gym or at home. Each plan carries stop rules for pain. It isn't medical advice, and it doesn't plan rehab, running or sport-specific training.

Try it

  • "Make me a 3-day strength plan for building muscle." Then "Save it to Almost Fire."
  • "How do I do a Romanian deadlift?"
  • "What's my session today?" (asks you to sign in to Almost Fire the first time)
  • "Log 60 kg for 8 reps on bench."
  • "Log my lunch from a photo."

What's in this folder

PathWhat it is
.claude-plugin/plugin.json, .mcp.jsonThe plugin for Claude, and the connector it uses
plugin.json, mcp.jsonThe same plugin for ChatGPT, with its listing and review test cases
server.jsonThe connector's entry in the MCP Registry
skills/Five skills: start-training, coach-like-stoke, train-today, log-food-from-a-photo, weekly-check-in
assets/The icon and screenshots

The skills are instructions only. The plugin runs nothing on your computer: no hooks, scripts or local servers.

What it connects to and sends

The plugin connects to one server, https://strength.almostfire.com/api/mcp, run by Almost Fire.

  • Without an account, a plan request sends the answers you give (days a week, goal, equipment, anything to protect) and an exercise lookup sends the exercise's name. Almost Fire doesn't keep them.
  • With your account, the connector reads and changes only your own Almost Fire account, after you sign in to Almost Fire and allow the app. What you ask for (your plan, sessions, sets, food, weigh-ins and progress, and the meal photos you send) goes to ChatGPT or Claude to answer you. Apple Health numbers never go.
  • Meal photos are read the same way the Almost Fire app reads them.
  • Disconnect Almost Fire in ChatGPT's or Claude's settings at any time.

Privacy policy: https://strength.almostfire.com/privacy. Terms: https://strength.almostfire.com/terms.

Support

https://strength.almostfire.com/support, or email hello@almostfire.com.

问 PopNx