プロトタイプ · プレビュー版:公式レジストリのすべてのサーバーを掲載し、30分ごとに同期しています。レビューとアカウント機能は今後のステップで始まります。
PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

Almost Fire

作者:davidgibbon1バージョン 1.3.1i★ –iクラウドで動く
レジストリ名com.almostfire/strength-training

インストール

概要

作者による説明(英語の原文)

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

PopNx MCPの3つの柱

この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

  • 接続方法: クラウドで動く
  • トランスポート: Streamable HTTP
  • カテゴリ: 開発者ツール

インストール

使っているAIアプリを選んで、設定をコピーしてください。

インストールの前に

必要なもの

どのアプリを使っていますか?

上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。

ウェブ、デスクトップ、モバイルのClaudeで使えます:

  1. Settings → Connectors を開く
  2. Add custom connector を押す
  3. 下のアドレスを貼り付けて Add を押す
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Add2https://…3
https://strength.almostfire.com/api/mcp

ターミナルでこれを実行します

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

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

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

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

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

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

ChatGPTがつなげるのは、インターネット上のサーバーだけです:

  1. ウェブ版のChatGPTを開き → Settings → Connectors (Apps)
  2. Create または Add を押す(プランによっては、先に Advanced で Developer mode をオンにする必要があります)
  3. 下のアドレスを貼り付け、名前を付けて保存する
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Create2https://…3
https://strength.almostfire.com/api/mcp

メニューの名前は、プランや時期によって少し違うことがあります。

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

ツールの名前と説明は、サーバーが2026年11月8日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

  • 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.

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック

  • ✓ 合格

    作者とリポジトリが一致

    レジストリ名はドメイン almostfire.com で確認済みです(レジストリがドメインの所有を確認しています)

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • ✓ 合格

    エンドポイントが応答する

    312ミリ秒で応答(HTTP 200)

  • – 対象外

    OAuthでサインイン

    サインイン不要

  • ✓ 合格

    ツールの説明に隠れた指示がない

    28件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

開発者ツールのほかのサーバーとの比較i

  • このカテゴリのほかの5566件のうち0%よりスターが多い
  • このカテゴリのほかの5566件のうち87%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの5566件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

よくある質問

Almost Fireは安全ですか?

当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。

どんなキーやコードが必要ですか?

レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。

パソコンで動きますか、それともクラウドですか?

作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。

今もメンテナンスされていますか?

GitHubリポジトリの最終更新は–、最新バージョン(1.3.1)がレジストリに届いたのは昨日です。

どのアプリで使えますか?

Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。

代わりに使えるものは?

同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i

GitHub

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

作者:github広く使われている★ 3.4万5 日前更新

パソコンでもクラウドでも

Desktop Commander

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

作者:wonderwhy-er広く使われている↓ 71万/週★ 1万17 日前更新

パソコンで動く

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare広く使われている★ 444614 か月前更新

クラウドで動く✓ mcp.cloudflare.com

作者のREADME

READMEを開く

作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。

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.

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