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Client, workout, body composition, retention and finance management for personal trainers.
About
Client, workout, body composition, retention and finance management for personal trainers.
Remote endpoints: streamable-http: https://api.mcp.ai/p_mfit
Security Report
10.0
Low Risk10.0Low RiskValid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-mcp-dir-mfit-mcp": {
"url": "https://api.mcp.ai/p_mfit"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
MFIT Personal
MFIT Personal para Claude, Cursor e agentes de IA
Gestão de alunos, treinos, avaliações físicas, retenção e finanças para personal trainers.
- 📊 42 ferramentas
- ✏️ Leitura e escrita
- 💬 Funciona com qualquer cliente MCP: Claude Desktop, Cursor, VS Code, Cline, Continue
- 🔑 Login via magic-link (sem senha)
English version · Documentação completa · Skill pra agentes
Instalar em 1 clique
Claude (Web e Desktop)
A Anthropic unificou a instalação de MCPs em claude.ai/customize/connectors. O mesmo link serve pra Claude Web e Claude Desktop (basta estar logado):
Manual (se o deeplink não abrir): claude.ai/customize/connectors → + → Adicionar conector personalizado → cole Nome MFIT Personal e URL https://api.mcp.ai/p_mfit.
Cursor
➕ Instalar MFIT Personal no Cursor
VS Code (Copilot Chat)
➕ Instalar MFIT Personal no VS Code
ChatGPT, Manus, OpenClaw e mais 40+ clientes
Funciona em qualquer cliente MCP que suporte MCP over HTTP. A URL do servidor é sempre:
https://api.mcp.ai/p_mfit
Detalhes por cliente: INSTALL.md.
Exemplos de uso
Liste meus alunos ativos e quem não treina há mais de 15 dias
Resuma a retenção e finanças deste mês
Mostre os check-ins de hoje e feedbacks recentes
42 ferramentas disponíveis
| Tool | Descrição |
|---|---|
mfit_list_accounts | List all MFIT accounts linked to this install. Returns each account's id, email, label, and an "is_default" flag (true when only one is linked — no need to pass account in other tools). When multiple accounts are linked, every other mfit_* tool accepts an optional account parameter; pass id, email, or label (full or partial). |
mfit_get_profile | Get the trainer's own MFIT profile: name, email, plan, payment country. |
mfit_client_list | Read students in MFIT. Actions: list — paginated list, filter by status/name get — full student profile list_groups — trainer's custom groups (DYNAMIC — call before creating/updating a student to get valid groupId) Field types — STATIC: status (0=active/1=inactive). [Flattened action: list] Bulk support: accepts client_ids for batched execution. |
mfit_client_get | Read students in MFIT. Actions: list — paginated list, filter by status/name get — full student profile list_groups — trainer's custom groups (DYNAMIC — call before creating/updating a student to get valid groupId) Field types — STATIC: status (0=active/1=inactive). [Flattened action: get] Bulk support: accepts client_ids for batched execution. |
mfit_client_list_groups | Read students in MFIT. Actions: list — paginated list, filter by status/name get — full student profile list_groups — trainer's custom groups (DYNAMIC — call before creating/updating a student to get valid groupId) Field types — STATIC: status (0=active/1=inactive). [Flattened action: list_groups] Bulk support: accepts client_ids for batched execution. |
mfit_client_write_create | Create / update / deactivate students in MFIT. Actions: create — register new student (name, email, phone required) update — edit student fields (partial update) deactivate — set student inactive (reversible via update) Field types — STATIC: gender (m/f). DYNAMIC: groupId (per-trainer, call mfit_client list_groups first). [Flattened action: create] Bulk support: accepts client_ids for batched execution. |
mfit_client_write_update | Create / update / deactivate students in MFIT. Actions: create — register new student (name, email, phone required) update — edit student fields (partial update) deactivate — set student inactive (reversible via update) Field types — STATIC: gender (m/f). DYNAMIC: groupId (per-trainer, call mfit_client list_groups first). [Flattened action: update] Bulk support: accepts client_ids for batched execution. |
mfit_client_write_deactivate | Create / update / deactivate students in MFIT. Actions: create — register new student (name, email, phone required) update — edit student fields (partial update) deactivate — set student inactive (reversible via update) Field types — STATIC: gender (m/f). DYNAMIC: groupId (per-trainer, call mfit_client list_groups first). [Flattened action: deactivate] Bulk support: accepts client_ids for batched execution. |
mfit_get_client_count | Get a summary count of active and inactive students. |
mfit_get_client_notes | Read notes/observations for one or many students (bulk via client_ids). |
mfit_get_client_notes_write | Save (overwrite) notes/observations for a student. Replaces any existing notes text. Bulk support: accepts client_ids for batched execution. |
mfit_client_files_list | Read student files/attachments (diet plans, exams, planners, misc). Actions: list (all files for a student), get (file detail with sharing info). [Flattened action: list] Bulk support: accepts client_ids, file_ids for batched execution. |
mfit_client_files_get | Read student files/attachments (diet plans, exams, planners, misc). Actions: list (all files for a student), get (file detail with sharing info). [Flattened action: get] Bulk support: accepts client_ids, file_ids for batched execution. |
mfit_client_files_write | Update a student file: rename or change sharing settings. Bulk support: accepts file_ids for batched execution. |
mfit_client_files_delete | Delete a student file (irreversible). Bulk support: accepts client_ids, file_ids for batched execution. |
mfit_get_client_workouts | Get all workout routines assigned to one or many students. Supports bulk via client_ids. |
mfit_workout_get_routine | Read workout routines and sessions in MFIT. Actions: get_routine — routine details with all sessions get_session — session prescription with all exercises, series, and exercise IDs [Flattened action: get_routine] Bulk support: accepts routine_ids, session_ids for batched execution. |
mfit_workout_get_session | Read workout routines and sessions in MFIT. Actions: get_routine — routine details with all sessions get_session — session prescription with all exercises, series, and exercise IDs [Flattened action: get_session] Bulk support: accepts routine_ids, session_ids for batched execution. |
mfit_workout_write_create_routine | Create / update workout routines, sessions, and exercises in MFIT. Actions: create_routine — create a new workout routine for a student update_routine — edit routine name, dates, goal, difficulty, etc. archive_routine — archive a routine (status=1, reversible) unarchive_routine — restore archived routine to active (status=0) create_session — add a training session (day) to a routine add_exercise — add an exercise to a session (use mfit_search_exercises to find exercise_id). Added with 1 empty set — use update_serie to configure. update_serie — set reps, weight, rest for a serie. Get serie_id and exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].series[0].id and .idExercSession. Static options: trainingType: 1=Dia da Semana, 2=Numérico goal: 1=Hipertrofia, 2=Redução de gordura, 3=Redução de gordura/hipertrofia, 4=Definição muscular, 5=Condicionamento físico, 6=Qualidade de vida difficulty: 1=Iniciante, 2=Intermediário, 3=Avançado, 4=Adaptação day (session): 1=Domingo, 2=Segunda, 3=Terça, 4=Quarta, 5=Quinta, 6=Sexta, 7=Sábado For destructive operations (delete routine / session / exercise) use mfit_workout_delete. [Flattened action: create_routine] Bulk support: accepts client_ids, routine_ids, session_ids, exercise_ids, exercise_session_ids, serie_ids for batched execution. |
mfit_workout_write_update_routine | Create / update workout routines, sessions, and exercises in MFIT. Actions: create_routine — create a new workout routine for a student update_routine — edit routine name, dates, goal, difficulty, etc. archive_routine — archive a routine (status=1, reversible) unarchive_routine — restore archived routine to active (status=0) create_session — add a training session (day) to a routine add_exercise — add an exercise to a session (use mfit_search_exercises to find exercise_id). Added with 1 empty set — use update_serie to configure. update_serie — set reps, weight, rest for a serie. Get serie_id and exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].series[0].id and .idExercSession. Static options: trainingType: 1=Dia da Semana, 2=Numérico goal: 1=Hipertrofia, 2=Redução de gordura, 3=Redução de gordura/hipertrofia, 4=Definição muscular, 5=Condicionamento físico, 6=Qualidade de vida difficulty: 1=Iniciante, 2=Intermediário, 3=Avançado, 4=Adaptação day (session): 1=Domingo, 2=Segunda, 3=Terça, 4=Quarta, 5=Quinta, 6=Sexta, 7=Sábado For destructive operations (delete routine / session / exercise) use mfit_workout_delete. [Flattened action: update_routine] Bulk support: accepts client_ids, routine_ids, session_ids, exercise_ids, exercise_session_ids, serie_ids for batched execution. |
mfit_workout_write_archive_routine | Create / update workout routines, sessions, and exercises in MFIT. Actions: create_routine — create a new workout routine for a student update_routine — edit routine name, dates, goal, difficulty, etc. archive_routine — archive a routine (status=1, reversible) unarchive_routine — restore archived routine to active (status=0) create_session — add a training session (day) to a routine add_exercise — add an exercise to a session (use mfit_search_exercises to find exercise_id). Added with 1 empty set — use update_serie to configure. update_serie — set reps, weight, rest for a serie. Get serie_id and exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].series[0].id and .idExercSession. Static options: trainingType: 1=Dia da Semana, 2=Numérico goal: 1=Hipertrofia, 2=Redução de gordura, 3=Redução de gordura/hipertrofia, 4=Definição muscular, 5=Condicionamento físico, 6=Qualidade de vida difficulty: 1=Iniciante, 2=Intermediário, 3=Avançado, 4=Adaptação day (session): 1=Domingo, 2=Segunda, 3=Terça, 4=Quarta, 5=Quinta, 6=Sexta, 7=Sábado For destructive operations (delete routine / session / exercise) use mfit_workout_delete. [Flattened action: archive_routine] Bulk support: accepts client_ids, routine_ids, session_ids, exercise_ids, exercise_session_ids, serie_ids for batched execution. |
mfit_workout_write_unarchive_routine | Create / update workout routines, sessions, and exercises in MFIT. Actions: create_routine — create a new workout routine for a student update_routine — edit routine name, dates, goal, difficulty, etc. archive_routine — archive a routine (status=1, reversible) unarchive_routine — restore archived routine to active (status=0) create_session — add a training session (day) to a routine add_exercise — add an exercise to a session (use mfit_search_exercises to find exercise_id). Added with 1 empty set — use update_serie to configure. update_serie — set reps, weight, rest for a serie. Get serie_id and exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].series[0].id and .idExercSession. Static options: trainingType: 1=Dia da Semana, 2=Numérico goal: 1=Hipertrofia, 2=Redução de gordura, 3=Redução de gordura/hipertrofia, 4=Definição muscular, 5=Condicionamento físico, 6=Qualidade de vida difficulty: 1=Iniciante, 2=Intermediário, 3=Avançado, 4=Adaptação day (session): 1=Domingo, 2=Segunda, 3=Terça, 4=Quarta, 5=Quinta, 6=Sexta, 7=Sábado For destructive operations (delete routine / session / exercise) use mfit_workout_delete. [Flattened action: unarchive_routine] Bulk support: accepts client_ids, routine_ids, session_ids, exercise_ids, exercise_session_ids, serie_ids for batched execution. |
mfit_workout_write_create_session | Create / update workout routines, sessions, and exercises in MFIT. Actions: create_routine — create a new workout routine for a student update_routine — edit routine name, dates, goal, difficulty, etc. archive_routine — archive a routine (status=1, reversible) unarchive_routine — restore archived routine to active (status=0) create_session — add a training session (day) to a routine add_exercise — add an exercise to a session (use mfit_search_exercises to find exercise_id). Added with 1 empty set — use update_serie to configure. update_serie — set reps, weight, rest for a serie. Get serie_id and exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].series[0].id and .idExercSession. Static options: trainingType: 1=Dia da Semana, 2=Numérico goal: 1=Hipertrofia, 2=Redução de gordura, 3=Redução de gordura/hipertrofia, 4=Definição muscular, 5=Condicionamento físico, 6=Qualidade de vida difficulty: 1=Iniciante, 2=Intermediário, 3=Avançado, 4=Adaptação day (session): 1=Domingo, 2=Segunda, 3=Terça, 4=Quarta, 5=Quinta, 6=Sexta, 7=Sábado For destructive operations (delete routine / session / exercise) use mfit_workout_delete. [Flattened action: create_session] Bulk support: accepts client_ids, routine_ids, session_ids, exercise_ids, exercise_session_ids, serie_ids for batched execution. |
mfit_workout_write_add_exercise | Create / update workout routines, sessions, and exercises in MFIT. Actions: create_routine — create a new workout routine for a student update_routine — edit routine name, dates, goal, difficulty, etc. archive_routine — archive a routine (status=1, reversible) unarchive_routine — restore archived routine to active (status=0) create_session — add a training session (day) to a routine add_exercise — add an exercise to a session (use mfit_search_exercises to find exercise_id). Added with 1 empty set — use update_serie to configure. update_serie — set reps, weight, rest for a serie. Get serie_id and exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].series[0].id and .idExercSession. Static options: trainingType: 1=Dia da Semana, 2=Numérico goal: 1=Hipertrofia, 2=Redução de gordura, 3=Redução de gordura/hipertrofia, 4=Definição muscular, 5=Condicionamento físico, 6=Qualidade de vida difficulty: 1=Iniciante, 2=Intermediário, 3=Avançado, 4=Adaptação day (session): 1=Domingo, 2=Segunda, 3=Terça, 4=Quarta, 5=Quinta, 6=Sexta, 7=Sábado For destructive operations (delete routine / session / exercise) use mfit_workout_delete. [Flattened action: add_exercise] Bulk support: accepts client_ids, routine_ids, session_ids, exercise_ids, exercise_session_ids, serie_ids for batched execution. |
mfit_workout_write_update_serie | Create / update workout routines, sessions, and exercises in MFIT. Actions: create_routine — create a new workout routine for a student update_routine — edit routine name, dates, goal, difficulty, etc. archive_routine — archive a routine (status=1, reversible) unarchive_routine — restore archived routine to active (status=0) create_session — add a training session (day) to a routine add_exercise — add an exercise to a session (use mfit_search_exercises to find exercise_id). Added with 1 empty set — use update_serie to configure. update_serie — set reps, weight, rest for a serie. Get serie_id and exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].series[0].id and .idExercSession. Static options: trainingType: 1=Dia da Semana, 2=Numérico goal: 1=Hipertrofia, 2=Redução de gordura, 3=Redução de gordura/hipertrofia, 4=Definição muscular, 5=Condicionamento físico, 6=Qualidade de vida difficulty: 1=Iniciante, 2=Intermediário, 3=Avançado, 4=Adaptação day (session): 1=Domingo, 2=Segunda, 3=Terça, 4=Quarta, 5=Quinta, 6=Sexta, 7=Sábado For destructive operations (delete routine / session / exercise) use mfit_workout_delete. [Flattened action: update_serie] Bulk support: accepts client_ids, routine_ids, session_ids, exercise_ids, exercise_session_ids, serie_ids for batched execution. |
mfit_workout_delete_routine | Destructive operations on workout routines, sessions, and exercises. Actions: delete_routine — soft-delete a routine (moves to "Excluídas"; reversible) delete_session — remove a session from a routine (irreversible) delete_exercise — remove an exercise from a session (irreversible). Get exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].idExercSession. [Flattened action: delete_routine] Bulk support: accepts routine_ids, session_ids, exercise_session_ids for batched execution. |
mfit_workout_delete_session | Destructive operations on workout routines, sessions, and exercises. Actions: delete_routine — soft-delete a routine (moves to "Excluídas"; reversible) delete_session — remove a session from a routine (irreversible) delete_exercise — remove an exercise from a session (irreversible). Get exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].idExercSession. [Flattened action: delete_session] Bulk support: accepts routine_ids, session_ids, exercise_session_ids for batched execution. |
mfit_workout_delete_exercise | Destructive operations on workout routines, sessions, and exercises. Actions: delete_routine — soft-delete a routine (moves to "Excluídas"; reversible) delete_session — remove a session from a routine (irreversible) delete_exercise — remove an exercise from a session (irreversible). Get exercise_session_id from mfit_workout get_session → exerciciosMontados.k{id}[0].idExercSession. [Flattened action: delete_exercise] Bulk support: accepts routine_ids, session_ids, exercise_session_ids for batched execution. |
mfit_get_workout_library | Browse the trainer's workout library folders and saved routines. Use folder_id=0 for the root. Bulk support: accepts folder_ids for batched execution. |
mfit_search_exercises | Search the exercise library by name (Portuguese or English). Returns exercise name, category, muscle group, and video/image URL. |
mfit_get_exercise_favorites | Get the trainer's favorite exercises. |
mfit_get_user_exercises | Get custom exercises created by the trainer. |
mfit_get_client_evaluations | Get evaluations for one or many students: heart rate zones, VO2max, and training frequency. |
mfit_get_training_frequency | Get which days one or many students trained in a date range. Returns true/false per day of week. |
mfit_get_retention | Get student retention dashboard: active clients, engagement rate, growth rate, churn rate, NPS. Compare current period vs previous. |
mfit_get_finances | Get financial overview: transactions in date range, wallet/payment info, seller status. |
mfit_get_invoices | Get invoices/billing for one or many students (bulk via client_ids). |
mfit_get_anamnesis_models | Get available anamnesis form templates (e.g. PAR-Q) that can be sent to students. |
mfit_get_today_checkins | Check which students trained today. Scans all active students and returns two lists: who_trained and who_didnt. Single call, no need to check one by one. |
mfit_get_training_ranking | Ranking of students who trained the most in a period (default: current month). Uses bulk frequency checks and returns top performers. |
mfit_get_feedbacks | Get all unread workout feedbacks from students. Each feedback includes: student name, Borg RPE score (1-10 perceived effort), text feedback, workout date/time, duration. Shows which students completed workouts and how they felt. |
mfit_get_retention_clients | List students by retention status: AT_RISK (may churn), ABANDONED (stopped training), ACTIVE, or all. Shows days since last workout, avg weekly workouts, WhatsApp link. Much more useful than listing clients — this tells you WHO NEEDS ATTENTION. |
Detalhe de cada tool: docs/ferramentas.md
Preços
Planos a partir do tier grátis. Veja docs/precos.md.
Privacidade & LGPD
- Sub-processadores: o LLM host que você escolher (Claude, ChatGPT, Cursor, agente próprio). Lista completa em docs/privacidade-lgpd.md.
- Os dados retornados pelas tools são enviados ao LLM host que você escolher, sub-processador fora do nosso controle. Recomendamos planos com opt-out de treinamento.
Perguntas frequentes
O servidor é open source? O servidor é proprietário (hosted). Este repositório é o wrapper público com manifestos, docs e skills — tudo MIT.
Posso usar com agente próprio (não Claude/Cursor)?
Sim — qualquer cliente que suporte MCP over HTTP. URL: https://api.mcp.ai/p_mfit.
Suporte
- 📧 mfit@mcp.ai
- 🐛 GitHub Issues
- 📄 docs/
Licença
MIT — veja LICENSE. O servidor MCP em api.mcp.ai/p_mfit é proprietário (hosted); este repositório (manifestos, docs, skills) é MIT.
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