Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Description from the maker (original English)
MCP server for the Hevy fitness API — spec-generated schemas, dry-run-safe writes, easy setup.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"hevy": {
"command": "npx",
"args": [
"-y",
"@diecoscai/hevy-mcp"
]
}
}
}Run this in your terminal
claude mcp add hevy -- npx -y @diecoscai/hevy-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"hevy": {
"command": "npx",
"args": [
"-y",
"@diecoscai/hevy-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"hevy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@diecoscai/hevy-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 8, 2026
The registry name was verified with the GitHub account diecoscai, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 –, and the latest version (0.5.0) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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.
Model Context Protocol server for the Hevy fitness API. Manage workouts, routines, exercises, and body measurements from any MCP-compatible client — Claude Desktop, Claude Code, Cursor, VS Code, and anything else that speaks MCP over stdio.
This MCP server exposes the public Hevy API (api.hevyapp.com/v1) as 22 strongly-typed tools. LLM agents can list workouts, create routines, look up exercise templates, track body measurements, and follow a delta-sync feed — all without bespoke glue code on the client.
Design goals:
{ dry_run: true, would_send: { ... } } preview unless HEVY_MCP_ALLOW_WRITES=1 is set. The Hevy API has no DELETE on any resource, so accidental writes are permanent; dry-run is the brake.HEVY_API_KEY. No wizards, no config files; just paste the snippet for your client.Schemas are generated from Hevy's own OpenAPI spec and re-synced automatically, so the server adapts to upstream changes instead of drifting. Writes are dry-run by default; every public endpoint is covered.
Maintenance mode. Feature-complete for Hevy's public API. Schemas are generated from Hevy's OpenAPI spec; a scheduled workflow re-syncs them weekly and opens a PR on any change, and a live integration run catches undocumented server changes. Bug reports and PRs welcome via the issue tracker.
node --version).The fastest path is the setup subcommand — it validates your key and writes a config file the server picks up automatically:
npx @diecoscai/hevy-mcp setup
It prompts for your Hevy Pro API key (from https://hevy.com/settings?developer), checks it against the live API, asks whether to enable write operations, and saves everything to ~/.config/hevy-mcp/config.json (mode 0600). Then add the server to your MCP client with no env block needed:
{
"mcpServers": { "hevy": { "command": "npx", "args": ["-y", "@diecoscai/hevy-mcp"] } } }
Restart the client — the 22 Hevy tools appear in the tools panel.
Prefer environment variables? Skip setup and pass HEVY_API_KEY (and optionally HEVY_MCP_ALLOW_WRITES=1) in the env block instead — see Configuration. Env vars always take precedence over the config file.
Note on bare invocation. Running
npx @diecoscai/hevy-mcpwith no arguments starts a stdio MCP server and blocks, waiting for an MCP client to connect over its stdin/stdout. You don't run it in a terminal yourself — your MCP client spawns it. Usenpx @diecoscai/hevy-mcp --help,--version, orsetupfor a non-blocking invocation.
Write tools are dry-run by default. The first time you ask the server to create or update anything (a workout, a routine, a body measurement) you'll see a preview payload, not a real change. Enable writes by answering "yes" during
setup, or by settingHEVY_MCP_ALLOW_WRITES=1in theenvblock — see Safety.
You can also run the server directly from a local clone instead of via npx. Useful if you want to pin a specific commit, debug a tool locally, or run an unreleased version. Contributors should use Development below instead.
git clone https://github.com/diecoscai/hevy-mcp.git
cd hevy-mcp npm ci npm run build
Then point your MCP client at the built entry instead of npx @diecoscai/hevy-mcp:
{
"mcpServers": { "hevy": { "command": "node", "args": ["/absolute/path/to/hevy-mcp/dist/index.js"], "env": { "HEVY_API_KEY": "PASTE_YOUR_KEY_HERE" } } } }
The env block (including HEVY_MCP_ALLOW_WRITES) works identically to the npx snippets below.
Each MCP client spawns the server as a stdio subprocess with HEVY_API_KEY in its env block.
Config path:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json *(Anthropic does not ship an official Linux build of Claude Desktop as of 2026; the path applies only to unofficial community builds.)*{
"mcpServers": { "hevy": { "command": "npx", "args": ["-y", "@diecoscai/hevy-mcp"], "env": { "HEVY_API_KEY": "PASTE_YOUR_KEY_HERE" } } } }
Add "HEVY_MCP_ALLOW_WRITES": "1" to the env block to enable write tools.
claude mcp add hevy --env HEVY_API_KEY=PASTE_YOUR_KEY_HERE -- npx -y @diecoscai/hevy-mcp
To enable writes, append --env HEVY_MCP_ALLOW_WRITES=1.
Config path: ~/.cursor/mcp.json. Same shape as Claude Desktop:
{
"mcpServers": { "hevy": { "command": "npx", "args": ["-y", "@diecoscai/hevy-mcp"], "env": { "HEVY_API_KEY": "PASTE_YOUR_KEY_HERE" } } } }
Create .vscode/mcp.json at the root of your workspace (or put the same shape under a user-level MCP config if your VS Code build supports one):
{
"servers": { "hevy": { "command": "npx", "args": ["-y", "@diecoscai/hevy-mcp"], "env": { "HEVY_API_KEY": "PASTE_YOUR_KEY_HERE" } } } }
If you use a third-party MCP extension that expects a different shape, check its docs — VS Code's native MCP integration landed in 1.102.
See docs/configuration.md for troubleshooting and client-specific notes, and docs/examples.md for end-to-end flows you can run with a connected MCP client.
Every POST and PUT tool handler checks HEVY_MCP_ALLOW_WRITES at call time:
{
"dry_run": true, "would_send": { "method": "POST", "path": "/v1/routine_folders", "body": { "routine_folder": { "title": "Push days" } } }, "hint": "set HEVY_MCP_ALLOW_WRITES=1 to execute" }
1 — the tool performs the real request.The Hevy API has no `DELETE` endpoint on any resource. A bad write cannot be rolled back from the client — it will persist on your account until you manually fix it in the Hevy app. Dry-run is the first line of defence; explicit opt-in for writes is the second.
The server exposes 23 tools grouped by resource. See docs/tools.md for input schemas and examples.
| Tool | Description |
|---|---|
hevy_get_user_info | Return the authenticated user (name, id, profile URL). |
| Tool | Description |
|---|---|
hevy_list_workouts | Paginated workouts (pageSize 1-10). |
hevy_get_workout | Fetch one workout by UUID. |
hevy_get_workout_count | Total number of workouts on the account. |
hevy_get_workout_events | Delta-sync feed: updated / deleted events since a timestamp. |
hevy_create_workout | Log a new workout (write — dry-run default). |
hevy_update_workout | Full replace of an existing workout (write — dry-run default). |
| Tool | Description |
|---|---|
hevy_list_routines | Paginated routines. |
hevy_get_routine | Fetch one routine by UUID. |
hevy_create_routine | Create a routine (write — dry-run default). |
hevy_update_routine | Full replace of a routine (write — dry-run default). |
| Tool | Description |
|---|---|
hevy_list_routine_folders | Paginated folders. |
hevy_get_routine_folder | Fetch one folder by positive integer id. |
hevy_create_routine_folder | Create a folder (write — dry-run default). |
| Tool | Description |
|---|---|
hevy_list_exercise_templates | Paginated exercise library — the only list that accepts pageSize up to 100. |
hevy_search_exercise_templates | Search templates by name (case-insensitive substring). Resolves a human name (e.g. "bench press") to an exercise_template_id. Paginates the full catalog; results cached for an hour. |
hevy_get_exercise_template | Fetch one template by id (8-char hex for built-ins, UUID for custom). |
hevy_create_exercise_template | Create a custom exercise (write — dry-run default). |
hevy_get_exercise_history | All logged sets for a given exercise template. |
| Tool | Description |
|---|---|
hevy_list_body_measurements | Paginated measurements. Records are keyed by date. |
hevy_get_body_measurement | Fetch the record for a single YYYY-MM-DD. |
hevy_create_body_measurement | Create a new record (write — dry-run default). 409 if the date already exists. |
hevy_update_body_measurement | Replace the record for a date — any field not sent is set to NULL (write — dry-run default). |
| Name | Required | Description |
|---|---|---|
HEVY_API_KEY | required* | Hevy Pro API key (UUID v4). Typically passed through the env block of your MCP client config. |
HEVY_MCP_ALLOW_WRITES | optional | Set to 1 to enable real POST / PUT calls. Any other value (including unset) keeps dry-run on. |
HEVY_MCP_DISABLE_CACHE | optional | Set to 1 to disable the in-memory exercise-template cache (see below). |
HEVY_MCP_CACHE_TTL_SECONDS | optional | Cache TTL in seconds. Default 3600. Ignored when the cache is disabled. |
\* HEVY_API_KEY is required *unless* you ran npx @diecoscai/hevy-mcp setup, which saves the key (and the writes setting) to ~/.config/hevy-mcp/config.json. Resolution order: the env var wins; the config file is the fallback. The same precedence applies to HEVY_MCP_ALLOW_WRITES vs the file's allowWrites.
hevy_list_exercise_templates and hevy_get_exercise_template read through a per-process in-memory cache (Map with per-entry TTL, default 1 hour). The template catalog is large and near-static within a session, so repeated resolution — e.g. looking up an id while building a routine — costs one HTTP round-trip instead of many.
hevy_create_exercise_template invalidates the list portion of the cache on a successful write; singleton template entries are left alone (they can't be made stale by creating a different custom template). The cache is never persisted across processes.
Disable the cache entirely with HEVY_MCP_DISABLE_CACHE=1, or shorten / lengthen its lifetime with HEVY_MCP_CACHE_TTL_SECONDS.
Hevy's public API (api.hevyapp.com/v1/*) does not document webhook subscriptions; the releva
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