mcpbeat

MFIT Personal MCP Server

io.github.mcp-dir/mfit-mcp
answering

MFIT Personal is answering right now. Last checked 5 min ago. It exposes 48 tools. Last commit 11 Jun 2026.

Client, workout, body composition, retention and finance management for personal trainers.

Uptime history 40 hours of history · worst hour 50%
40 hours agonow
96.7%
Uptime 24h
88 of 91 checks
48
Tools
read from the server
605 ms
Response time
average over 24h
0
Stars
last commit 11 Jun 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add mfit-mcp --transport http https://api.mcp.ai/p_mfit
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mfit-mcp": {
      "url": "https://api.mcp.ai/p_mfit"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mfit-mcp]
url = "https://api.mcp.ai/p_mfit"
.cursor/mcp.json
{
  "mcpServers": {
    "mfit-mcp": {
      "url": "https://api.mcp.ai/p_mfit"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mfit-mcp": {
      "url": "https://api.mcp.ai/p_mfit"
    }
  }
}

Available tools 48

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

mfit
mfit_client_files_delete
Delete a student file (irreversible). 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_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_write
Update a student file: rename or change sharing settings. Bulk support: accepts file_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
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_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_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_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_get_anamnesis_models
Get available anamnesis form templates (e.g. PAR-Q) that can be sent to students.
mfit_get_client_count
Get a summary count of active and inactive students.
mfit_get_client_evaluations
Get evaluations for one or many students: heart rate zones, VO2max, and training frequency.
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_get_client_workouts
Get all workout routines assigned to one or many students. Supports bulk via client_ids.
mfit_get_exercise_favorites
Get the trainer's favorite exercises.
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_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_profile
Get the trainer's own MFIT profile: name, email, plan, payment country.
mfit_get_retention
Get student retention dashboard: active clients, engagement rate, growth rate, churn rate, NPS. Compare current period vs previous.
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.
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_frequency
Get which days one or many students trained in a date range. Returns true/false per day of week.
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_user_exercises
Get custom exercises created by the trainer.
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_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_search_exercises
Search the exercise library by name (Portuguese or English). Returns exercise name, category, muscle group, and video/image URL.
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_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_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_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_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_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_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_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_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_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.
authenticate
authenticate
MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.
connect
connect
Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
marketplace
marketplace
The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin.
report
report_bug
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
show
show_version
Show the current MCP platform and adapter versions.
toolkit
toolkit_info
Returns the current toolkit state: installed MCPs, their connection status, and how many catalog tools each exposes.

Endpoints

URLTransportStateLatencyChecked
https://api.mcp.ai/p_mfit streamable-http answering 253 ms 5 min ago

MFIT Personal — questions

Answers built from our own checks of this server.

What can MFIT Personal do?
It exposes 48 tools, read directly from the server on our last check. Among them: authenticate, connect, marketplace, mfit_client_files_delete, mfit_client_files_get, mfit_client_files_list and 42 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is MFIT Personal working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 88 of 91 checks got a reply (96.7%), average response time 605 ms. The bar chart above shows every period we have measured.
How do I connect MFIT Personal?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does MFIT Personal need an API key?
No. MFIT Personal completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 48 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is MFIT Personal?
It answers our handshake in 605 ms on average, which is faster than 16% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is MFIT Personal open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.