TrainBud
Talk to your own fitness data. Findings computed in code against your own 28-day baselines.
MCP server · by Zsadigzade
About
TrainBud is an MCP server published by Zsadigzade. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-12.
What it asks for
- Runs on your machine
- Secrets: 2
- Settings: 3
Requires: ANTHROPIC_API_KEY (secret), GARMIN_EMAIL, GARMIN_PASSWORD (secret)
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: npm package
Built from what Official MCP Registry declares.
claude mcp add --env "ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>" --env "GARMIN_EMAIL=<YOUR_GARMIN_EMAIL>" --env "GARMIN_PASSWORD=<YOUR_GARMIN_PASSWORD>" --transport stdio trainbud -- npx -y trainbud
[mcp_servers.trainbud]
command = "npx"
args = ["-y", "trainbud"]
[mcp_servers.trainbud.env]
ANTHROPIC_API_KEY = "<YOUR_ANTHROPIC_API_KEY>"
GARMIN_EMAIL = "<YOUR_GARMIN_EMAIL>"
GARMIN_PASSWORD = "<YOUR_GARMIN_PASSWORD>"
{
"mcpServers": {
"trainbud": {
"command": "npx",
"args": [
"-y",
"trainbud"
],
"env": {
"ANTHROPIC_API_KEY": "<YOUR_ANTHROPIC_API_KEY>",
"GARMIN_EMAIL": "<YOUR_GARMIN_EMAIL>",
"GARMIN_PASSWORD": "<YOUR_GARMIN_PASSWORD>"
}
}
}
}
Replace the values in angle brackets with your own. We show the names of the settings, never values.
We do not store launch arguments. If the server needs any, its own documentation names them.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.9.0 | Forks (GitHub): 0 Stars (GitHub): 0 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Query Garmin, Oura & Whoop sleep, HRV, recovery & training load from Claude or ChatGPT.
-
Analyse activities, build training plans and sync structured workouts to your sports watch.
-
Your endurance training data in your AI assistant: activities, recovery, plan, workout edits.
-
Connect your health, fitness, nutrition, sleep, and wearable data to your AI assistant.
-
Apple Health training load, recovery, HRV and workout detail for Claude, ChatGPT and any MCP client.
-
whoop-mcp io.github.davidmosiah/whoop-mcp
Privacy-first, unofficial WHOOP MCP server for AI health, sleep, recovery, and performance agents.
-
Manage your endurance training data and race preparation
-
Your WHOOP recovery, sleep, strain and workouts in Claude, ChatGPT or other MCP apps. Self-hosted.
-
Track, curate, and analyze data about your health, habits, and goals.
-
whoop-mcp io.github.souravpn/whoop-mcp
MCP server for WHOOP — gives Claude access to your recovery, sleep, strain, and workout data
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
An AI running coach that generates personalized training plans for 5K through marathon distances and analyzes your workouts using evidence-based training principles. Works with…
-
Health & training meta-router — 12 evidence-based frameworks (Mediterranean Diet/PREDIMED, Low-Carb/Keto, Intermittent Fasting, Macro Tracking, Progressive Overload, Strength…
-
Embed and analyze sensor and time-series data using the InertialAI API. Provides MCP tools for embedding, similarity search, and nearest-neighbor classification, plus workflow…
-
Weekly and monthly journal pattern recognition. Floor trends, life coach observations, advisory panel. Companion to claude-daily-journal.
-
Track the carbon footprint of your Claude Code sessions. Adds a live CO2 estimate to the status line, persists sessions to a local SQLite database, and generates shareable PNG…
Has a listing on Claude Code: claude-plugins-official (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Bring Pendo product analytics into Claude Code: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real…
-
Use Datadog directly in Claude Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation. This plugin is in…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Answer product and business questions with data
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
Has a listing on Community GitHub marketplaces (5)
-
Agent-first workout and food log: sets and meals from chat, USDA and Open Food Facts macros, cards.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Use Datadog directly in Copilot / VS Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation.
-
Codebase-grounded concept-mastery quizzes with an interactive BrainMax Canvas dashboard.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
Has a listing on Cursor: cursor/plugins (5)
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Track AI visibility, sentiment, and citations.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
Has a listing on Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in…
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
An MCP server to help make U.S. Government open datasets AI-friendly.
Has a listing on Official MCP Registry (5)
-
Query Garmin, Oura & Whoop sleep, HRV, recovery & training load from Claude or ChatGPT.
-
Analyse activities, build training plans and sync structured workouts to your sports watch.
-
Your endurance training data in your AI assistant: activities, recovery, plan, workout edits.
-
Connect your health, fitness, nutrition, sleep, and wearable data to your AI assistant.
-
Apple Health training load, recovery, HRV and workout detail for Claude, ChatGPT and any MCP client.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.