Medplum MCP
Securely access and manage FHIR healthcare data stored in Medplum.
Self-hosted Intervals.icu MCP server: training analytics, Garmin data, wellness, workout planning
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
You need a Futureweb Intervals MCP key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
SettingsDeveloperEdit Config
{
"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"
}
}
}
}Paste the key only into the app’s field, never into a chat or to anyone
Use Futureweb Intervals MCP and tell me what you can do for me, then show me one thing✓ If Claude says it is using Futureweb Intervals MCP or shows a Futureweb Intervals MCP tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Futureweb Intervals MCP yet
Futureweb Intervals MCP runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Futureweb Intervals MCP
B · Others in Clinics & health that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
You need a Futureweb Intervals MCP key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user 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-mcpReplace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
You should see Futureweb Intervals MCP listed as connected
Use Futureweb Intervals MCP and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Futureweb Intervals MCP or shows a Futureweb Intervals MCP tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
You need a Futureweb Intervals MCP key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
In the Futureweb Intervals MCP settings, API_KEY, ATHLETE_ID, MCP_PERMISSIONS, MCP_TOOLSET, ATHLETE_TIMEZONE is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Futureweb Intervals MCP and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Futureweb Intervals MCP or shows a Futureweb Intervals MCP tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
You need a Futureweb Intervals MCP key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
In the Futureweb Intervals MCP settings, API_KEY, ATHLETE_ID, MCP_PERMISSIONS, MCP_TOOLSET, ATHLETE_TIMEZONE is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Futureweb Intervals MCP and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Futureweb Intervals MCP or shows a Futureweb Intervals MCP tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user 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-mcpClaude Desktop (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"
}
}
}
}Cursor (~/.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"
}
}
}
}VS Code (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"
}
}
}
}API_KEY secret required envATHLETE_ID required envMCP_PERMISSIONS envMCP_TOOLSET envATHLETE_TIMEZONE envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
pypi: futureweb-intervals-mcpoci: ghcr.io/futureweb/intervals-mcp-server:1.0.0b2Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026
The registry name was verified with the GitHub account futureweb, which owns the repo
Code last changed 12 days ago
Uses GPL-3.0
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: API_KEY, ATHLETE_ID
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 12 days ago, and the latest version (1.0.0b2) reached the registry 29 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker on your computer.
In the same category: Medplum MCP, Mirobody, Apple Health
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Securely access and manage FHIR healthcare data stored in Medplum.
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Local-first Apple Health MCP server for questions about your sleep, workouts and heart data.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.private_key_jwt (ChatGPT), PKCE and RFC 9207. Streamable HTTP (/mcp) and SSE from one process.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.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, write, destructive, admin) enforced on the server; only read is active unless you enable more.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.
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