Fitness AI MCP
Fitness Ai MCP Server by MEOK AI Labs
Connector by CSOAI-ORG · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/csoai-org-fitness-ai-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 2 read · 1 write · 0 delete · 2 not yet classified
- Secrets
- None asked for
- Install scripts
- Not scanned yet
- Runs as
- Python package
Tools by what they do 5
Read from the source code; the running server may list different tools.
Read 2 · Look things up without changing anything.
calculate_body_compositioncheck_exercise_form
Write 1 · Create, change, send or run things.
build_training_plan
Not yet classified 2 · We could not tell from the name and description.
generate_workouttrack_calories
Tools (5)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
build_training_planBuild a multi-week training program with periodization. Args: goal: Training goal: strength, hypertrophy, fat_loss, general_fitness, endurance experience_level: Level: beginner, intermediate, advanced days_per_week: Training days per week (2-6) plan_weeks: Program duration in weeks (4-16) equipment_available: Available equipment types Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required …
calculate_body_compositionCalculate BMI, body fat estimate, BMR, and TDEE. Args: weight_kg: Body weight in kg height_cm: Height in cm age: Age in years sex: Biological sex: male, female waist_cm: Waist circumference in cm (for body fat estimate) neck_cm: Neck circumference in cm (for body fat estimate) hip_cm: Hip circumference in cm (females, for body fat estimate) activity_level: Activity: sedentary, light, moderate, active, very_active Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. …
check_exercise_formGet exercise form cues, common mistakes, and muscle activation info. Args: exercise_name: Name of the exercise common_mistakes: Include common form mistakes and corrections Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs agains…
generate_workoutGenerate a complete workout plan tailored to goals and equipment. Args: goal: Fitness goal: strength, hypertrophy, fat_loss, general_fitness, endurance experience_level: Level: beginner, intermediate, advanced duration_minutes: Available workout time in minutes equipment_available: Available equipment: barbell, dumbbells, cable, machine, bodyweight, none muscle_groups: Target muscle groups: chest, back, legs, shoulders, arms, core, cardio exclude_exercises: Exercise names to exclude Behavior: This tool generates structured output without modifying external systems…
track_caloriesTrack daily calorie and macronutrient intake from food entries. Args: foods: List of dicts with keys: name, calories, protein_g (optional), carbs_g (optional), fat_g (optional), quantity (optional, default 1) target_calories: Daily calorie target target_protein_g: Daily protein target in grams (0 = auto-calculate) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. N…
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 58
- Last commit
- Sep 4, 2026 (1 month ago)
- Last release
- Aug 19, 2026 (2 months ago)
- Last package publish
- Jun 27, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.CSOAI-ORG/fitness-ai-mcp- Version
- 1.0.11
- Auth
- No auth
- Packages
- pypi fitness-ai-mcp
- License
- MIT
- Repository
- github.com/CSOAI-ORG/fitness-ai-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 25, 2026
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Cite this page
Fitness AI MCP. Agent Mart. https://agentmart.dev/connectors/csoai-org-fitness-ai-mcp (last updated 2026-10-25)