Povver — Strength Training 远程 MCP 服务器是什么?
Povver — Strength Training 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://mcp.povver.ai/mcp?utm_source=mcp_so&utm_medium=referral&utm_campaign=mcp_directory,AI 助手无需在本地安装或运行任何东西即可连接。

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基本信息
Povver is a strength-training app for iOS. This remote MCP server lets Claude, ChatGPT, Gemini, or any MCP client read and write your own Povver data: set-level workout history, per-lift strength trends and plateau detection, weekly hard sets per muscle against MEV, MAV and MRV, injury memories, routines, templates and periodization plans. Ask how your bench is trending or where you are under-training, have the assistant log a session or rewrite your program, and get the research behind Povver's training rules. OAuth 2.1, requires a Povver subscription.
https://mcp.povver.ai/mcp?utm_source=mcp_so&utm_medium=referral&utm_campaign=mcp_directoryclaude mcp add povver-strength-training --transport http https://mcp.povver.ai/mcp?utm_source=mcp_so&utm_medium=referral&utm_campaign=mcp_directory工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Povver is a strength-training app for iOS. It reads every set you log, counts hard sets per muscle against the volume that muscle needs, and builds your next session from it. This MCP server gives Claude, ChatGPT, Gemini, or any MCP client read and write access to the same data, so you can work with your training log in a conversation instead of a screen: progressive overload, volume per muscle, plateaus, routines, periodization, injuries.
The server is hosted and remote. There is nothing to install. Every request is scoped to the account you sign in with, and it only touches your own data.
Read. Povver does the math first. Weekly sets per muscle against the volume that muscle needs, fatigue, each lift's trend, bests and stalls, whether you're getting stronger: the assistant reads those finished numbers without adding up logs, so answers come quicker and use less of its context. The raw data is there for anything a summary misses: every workout down to each set, and your sets filtered by exercise or muscle. It also reads your routine and what's next, your injuries, your periodization plan and a session in progress.
Write. Build and edit routines and templates, and pick the active one. Log a workout you just did, or import history from another app. Log sets, swap an exercise or finish a session as it happens. Write a periodization plan with a deload, preview it, then apply it. Tell it about an injury so it stays out of your program. Accept or reject Povver's recommendations.
Delete. Workouts, routines and templates, as a separate action from editing.
Training rules. Ask why Povver counts sets or raises weight the way it does and the answer comes from the research behind the rule.
Resources you can attach as context: training status, your active routine, recent workouts, the latest analysis, and individual workouts and templates by ID.
Prompts: Analyze my training week, What should I train today?, Review exercise progress, Review my training program.
https://mcp.povver.ai/mcp. Claude opens a browser window to sign in with your Povver account.claude mcp add --transport http povver https://mcp.povver.ai/mcphttps://mcp.povver.ai/mcp.Setup and a worked conversation, from a stalling lift to a swapped routine: Your training log in Claude.
OAuth 2.1 with PKCE and dynamic client registration. API keys are hashed at rest and revocable from the app. The server handles personal health data (training logs, body weight, injuries) and carries no sponsored content. The server source is closed. The public repository holds the documentation and the MCP Registry manifest.
A Povver account with a subscription. Povver is an iOS app with a 14-day free trial that includes everything, then a monthly or yearly plan. There is no free tier. Current prices are in the app and on povver.ai.
ai.povver/mcp-serverPovver — Strength Training 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://mcp.povver.ai/mcp?utm_source=mcp_so&utm_medium=referral&utm_campaign=mcp_directory,AI 助手无需在本地安装或运行任何东西即可连接。
把端点 https://mcp.povver.ai/mcp?utm_source=mcp_so&utm_medium=referral&utm_campaign=mcp_directory 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。
需要。Povver — Strength Training 使用 OAuth——第一次连接时,你的 MCP 客户端会打开浏览器窗口登录并授权,之后会复用这个凭证。
Povver — Strength Training 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。
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