intervals.icu-mcp
# Intervals.icu MCP Server
[](https://github.com/jelmervdm/intervals.icu-mcp)
[](LICENSE)
[](pyproject.toml)
[-success.svg)](https://github.com/glama-ai/tool-definition-quality-score)
Model Context Protocol (MCP) server for [Intervals.icu](https://intervals.icu), providing athletic training analysis, activity management, calendar event planning, wellness tracking, and workout library integration to AI assistants like Claude Desktop, Cursor, and IBM ContextForge.
---
## 🏆 Tool Definition Quality Score (TDQS)
This server is audited against the **[Tool Definition Quality Score (TDQS)](https://github.com/glama-ai/tool-definition-quality-score)** framework to guarantee optimal function calling, type safety, and runtime safety for LLMs:
- **Score:** `5.00 / 5.00` (**Tier A+**)
- **Behavioral Annotations (`ToolAnnotations`):** 100% of tools specify `readOnlyHint`, `destructiveHint`, and `idempotentHint` metadata.
- **Parameter Descriptions:** 100% of tool parameters use explicit Pydantic `Annotated[T, Field(description=...)]` metadata.
- **Operational Guidelines:** Standardized docstrings detailing explicit "Use when..." context across all 17 tools.
```text
---------------- SCORECARD METRICS ----------------
Tools Evaluated : 17
Behavioral Annotations : 17 / 17 (100.0%)
100% Parameter Descriptions : 17 / 17 (100.0%)
Usage Guidelines (Docstrings): 17 / 17 (100.0%)
Overall TDQS Score : 5.00 / 5.00
TDQS Quality Tier : Tier A+
========================================================
```
---
## Features
- **Athlete Profile**: Fetch FTP, LTHR, max HR, weight, and training zone settings.
- **Activities**: Search, view detailed metrics, update activity names/types, delete activities, and comment on activities.
- **Calendar & Events**: Manage planned workouts, races, and note events on your training calendar.
- **Wellness Tracking**: Log and retrieve daily wellness metrics (HRV, resting HR, weight, sleep, readiness, fatigue, mood).
- **Workout Library**: Browse workout folders and structured training library workouts.
- **Semantic Tool Routing**: Optional embedding-based tool discovery using `fastembed` for minimal context overhead.
- **ContextForge Gateway Support**: Built-in support for IBM ContextForge Gateway SSE transport.
## Installation
### Local Editable Install
Clone the repository and install in editable mode:
```bash
git clone https://github.com/jelmervdm/intervals.icu-mcp.git
cd intervals.icu-mcp
pip install -e ".[dev,router]"
```
### Container Deployment (Podman / Docker)
Pull pre-built image or build locally:
```bash
podman pull ghcr.io/jelmervdm/intervals.icu-mcp:latest
```
---
## Configuration
Set the following environment variables:
| Variable | Description | Default |
|---|---|---|
| `INTERVALS_API_KEY` | Your Intervals.icu API key (Required) | - |
| `INTERVALS_ATHLETE_ID` | Athlete ID | `0` (authenticated user) |
| `INTERVALS_BASE_URL` | Intervals.icu API base URL | `https://intervals.icu/api/v1` |
| `TOOL_ROUTING` | Enable fastembed semantic tool discovery | `false` |
| `ENABLE_CONTEXTFORGE_GATEWAY` | Enable IBM ContextForge SSE gateway on port 8000 | `false` |
### Obtaining your API Key
1. Log into your account at [Intervals.icu](https://intervals.icu).
2. Go to **Settings** -> **API Access**.
3. Copy your API Key.
---
## Usage with VS Code, Antigravity IDE & Claude Desktop
Add to your `.vscode/mcp.json` or MCP configuration file (`"servers"` for VS Code / Antigravity IDE, or `"mcpServers"` for Claude Desktop):
### Option 1: Docker / Podman
Podman is fully supported on Fedora/RHEL as a rootless drop-in replacement for Docker:
```json
{
"servers": {
"intervals": {
"command": "podman",
"args": [
"run", "-i", "--rm", "--pull=newer",
"-e", "INTERVALS_API_KEY",
"-e", "INTERVALS_ATHLETE_ID",
"ghcr.io/jelmervdm/intervals.icu-mcp:latest"
],
"env": {
"INTERVALS_API_KEY": "your_api_key_here",
"INTERVALS_ATHLETE_ID": "0"
}
}
}
}
```
> **Tip for Docker vs Podman**: Replace `"command": "podman"` with `"command": "docker"` if using standard Docker or `podman-docker`. Always use `-i` (interactive stdin) and **never** `-t` (TTY) to avoid formatting corruption over stdio.
### Option 2: Local Python Execution (without PyPI)
**Via `uv` (local workspace directory):**
```json
{
"servers": {
"intervals": {
"command": "uv",
"args": ["--directory", "/path/to/intervals.icu-mcp", "run", "intervals-icu-mcp-server"],
"env": {
"INTERVALS_API_KEY": "your_api_key_here",
"INTERVALS_ATHLETE_ID": "0"
}
}
}
}
```
**Via `python` (editable install `pip install -e .`):**
```json
{
"mcpServers": {
"intervals": {
"command": "python",
"args": ["-m", "intervals_mcp.server"],
"env": {
"INTERVALS_API_KEY": "your_api_key_here",
"INTERVALS_ATHLETE_ID": "0"
}
}
}
}
```
**Via `uvx` directly from GitHub repository:**
```json
{
"mcpServers": {
"intervals": {
"command": "uvx",
"args": ["--from", "git+https://github.com/jelmervdm/intervals.icu-mcp.git", "intervals-icu-mcp-server"],
"env": {
"INTERVALS_API_KEY": "your_api_key_here",
"INTERVALS_ATHLETE_ID": "0"
}
}
}
}
```
## Available Tools
### Athlete Tools
- `get_athlete_profile(athlete_id="0")`: Retrieve athlete profile, FTP, zones, and settings.
### Activity Tools
- `list_activities(oldest, newest, athlete_id="0")`: List activities in a date range (YYYY-MM-DD).
- `get_activity(activity_id)`: Retrieve detailed metrics for a specific activity.
- `update_activity(activity_id, name, description, type, gear)`: Update activity details.
- `delete_activity(activity_id)`: Delete an activity.
- `list_activity_messages(activity_id)`: Retrieve activity comments/messages.
- `add_activity_message(activity_id, text)`: Post a comment/note to an activity.
### Calendar & Event Tools
- `list_events(oldest, newest, athlete_id="0")`: List calendar events and planned workouts.
- `get_event(event_id, athlete_id="0")`: Fetch details of a planned workout or event.
- `create_event(start_date_local, name, description, type, category, athlete_id="0")`: Plan a workout or event.
- `update_event(event_id, start_date_local, name, description, athlete_id="0")`: Update a planned event.
- `delete_event(event_id, athlete_id="0")`: Delete a calendar event.
### Wellness Tools
- `list_wellness(oldest, newest, athlete_id="0")`: List daily wellness entries.
- `get_wellness(date, athlete_id="0")`: Fetch wellness record for a date (YYYY-MM-DD).
- `update_wellness(date, weight, resting_hr, hrv, sleep_secs, readiness, fatigue, mood, comments, athlete_id="0")`: Update wellness metrics.
### Workout Library Tools
- `list_workout_folders(athlete_id="0")`: List folders in the workout library.
- `list_workouts(folder_id, athlete_id="0")`: List structured library workouts.
---
## AI Coaching Skills
For AI agents acting as endurance coaches, this MCP server pairs directly with the [Athletic Performance Coaching Skills](https://github.com/jelmervdm/skills) repository.
While `intervals.icu-mcp` provides data access (activity streams, daily wellness, calendar planning, and workout library management), `jelmervdm/skills` provides physiological rules, workout analysis workflows, and evidence-based training prescription guardrails for AI assistants.
### Available Skills in [jelmervdm/skills](https://github.com/jelmervdm/skills)
- **[Cycling](https://github.com/jelmervdm/skills/tree/main/coach/cycling)**: Coggan power/HR zones, aerobic decoupling ($P\text{:}HR$), interval compliance scoring, periodization, and race pacing.
- **[Running](https://github.com/jelmervdm/skills/tree/main/coach/running)**: Jack Daniels VDOT pacing formulas, cadence dynamics, Grade-Adjusted Pace (GAP), rTSS, and race strategies.
- **[Swimming](https://github.com/jelmervdm/skills/tree/main/coach/swimming)**: Critical Swim Speed (CSS), SWOLF stroke efficiency, send-off clocks, and open-water drafting.
- **[Triathlon](https://github.com/jelmervdm/skills/tree/main/coach/triathlon)**: Multi-sport stress balancing ($\text{TSS} + \text{rTSS} + \text{sTSS}$), brick workout design, and T1/T2 transition execution.
- **[Ironman](https://github.com/jelmervdm/skills/tree/main/coach/ironman)**: Long-course 70.3/140.6 pacing budgets, high-carb gut training ($80\text{--}120\text{g/hr}$), special needs strategy, and 21-day tapers.
- **[Cross-Country Skiing](https://github.com/jelmervdm/skills/tree/main/coach/xc-skiing)**: Skate & Classic subtechnique kinematics (V1/V2, Diagonal, Double Poling), dryland roller skiing, and marathon ski pacing.
- **[Weight Training](https://github.com/jelmervdm/skills/tree/main/coach/weight-training)**: RIR/RPE autoregulation, strength/hypertrophy mesocycles, and concurrent endurance training integration.
---
## Development
```bash
git clone https://github.com/jelmervdm/intervals.icu-mcp.git
cd intervals.icu-mcp
pip install -e ".[dev,router]"
pytest tests/ -v
```
## License
[Apache-2.0 License](LICENSE)
TDQS
Scored across 19 tools
Each tool targets a distinct resource and action: activities vs events vs wellness vs workouts are clearly separated. The meta tools (route_tools/call_routed_tool) stand apart from the domain tools, and get/list/update/delete versions are unambiguous.
All domain tools follow a consistent verb_noun pattern (list_activities, get_event, update_wellness) using snake_case. The two meta tools deviate slightly but are a separate routing layer, not part of the core domain pattern.
19 tools is toward the upper end of reasonable for a comprehensive platform API covering athlete profile, activities, events, wellness, and workouts. The count is justified by the breadth of functionality, though it could feel heavy for simple tasks.
Full CRUD coverage for activities and events, plus read/update for wellness and read-only for workout library. The only notable gap is lack of create/update/delete for structured workouts, but scheduling is handled via events, so the surface is largely complete for the domain.