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MFIT Personal

REMOTE · API.MCP.AI · SCANNED SEP 27

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

Available components

−2 this week 67 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security46
  • The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
  • Authorisation not fully verified: this server exposes a tool marked destructive (mfit_client_files_delete) and its handshake is open, but we could not confirm whether a tool call is gated, so we do not assert it is callable unauthenticated. View diagnostics → Unverified
  • HTTPS enforcement could not be verified: the plaintext port answered with HTTP 406, which proves neither a plaintext path nor enforcement. View diagnostics → Unverified
  • HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
  • DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
Schema Quality & AI Usability64
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 8267 tokens (~172/item across 48 items; 48 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
  • Stability observed for 25 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • All 4 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 49 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the MFIT Personal MCP server?

MFIT Personal is a hosted endpoint at https://api.mcp.ai/p_mfit, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.mcp.ai

# add to Claude Code
claude mcp add --transport http mcp-dir-mfit-mcp 'https://api.mcp.ai/p_mfit'
// .cursor/mcp.json
{
  "mcpServers": {
    "mcp-dir-mfit-mcp": {
      "url": "https://api.mcp.ai/p_mfit"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "mcp-dir-mfit-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_mfit"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.mcp-dir-mfit-mcp]
url = "https://api.mcp.ai/p_mfit"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mcp-dir-mfit-mcp": {
      "type": "remote",
      "url": "https://api.mcp.ai/p_mfit",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add mcp-dir-mfit-mcp --url 'https://api.mcp.ai/p_mfit' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  mcp-dir-mfit-mcp:
    url: "https://api.mcp.ai/p_mfit"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "mcp-dir-mfit-mcp": {
      "Transport": "http",
      "Url": "https://api.mcp.ai/p_mfit"
    }
  }
}
# add to Vellum
assistant mcp add mcp-dir-mfit-mcp -t streamable-http -u 'https://api.mcp.ai/p_mfit'
// mcp.json
{
  "mcpServers": {
    "mcp-dir-mfit-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_mfit"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 27 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 25 Sept 26 −3
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 21 Sept 26 0
    • Stability: 0.97 → pass security
  • 20 Sept 26 0
    • Stability: pass → 0.97 functional
  • 14 Sept 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Server version: 0.9.346 → 0.9.351 functional
  • 10 Sept 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Server version: 0.9.345 → 0.9.346 functional
  • 9 Sept 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Server version: 0.9.343 → 0.9.345 functional
  • 7 Sept 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Server version: 0.9.342 → 0.9.343 functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 27 Sept 2026 · Probed https://api.mcp.ai/p_mfit

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.ai CN=WE1,O=Google Trust Services,C=US 31 Jul 2026 29 Oct 2026 ECDSA 256 ECDSA-SHA256 796a3b1f576e3f2e133c5d19d8f7be3b
SANs: mcp.ai, *.mcp.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.mcp.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
mcp.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.mcp.ai/p_mfit Verified 200
http (plaintext) http://api.mcp.ai/p_mfit Inconclusive 406
MCP tools · 48 exposed · ~8,138 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
authenticate ~99

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.

NameTypeReqDescription
tokenstring––

No output schema declared.

No examples provided.

connect ~42

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

marketplace ~532

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. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

NameTypeReqDescription
actionstring––
argumentsstring––
cancel_commentstring––
cancel_reasonstring––
conversationstring––
immediateboolean––
limitnumber––
mcp_idstring––
messagestring––
prompt_bodystring––
prompt_categorystring––
prompt_descriptionstring––
prompt_slugstring––
prompt_targetsarray––
prompt_titlestring––
prompt_toolstring––
prompt_varsstring––
querystring––
report_contextstring––
request_detailsstring––
request_namestring––
tier_slugstring––
tool_idstring––

No output schema declared.

No examples provided.

mfit_client_files_delete ~68

Delete a student file (irreversible). Bulk support: accepts client_ids, file_ids for batched execution.

NameTypeReqDescription
accountstring––
client_id–yes–
client_idsarray––
file_id–yes–
file_idsarray––

No output schema declared.

No examples provided.

mfit_client_files_get ~100

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.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––
file_id–––
file_idsarray––

No output schema declared.

No examples provided.

mfit_client_files_list ~100

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.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––
file_id–––
file_idsarray––

No output schema declared.

No examples provided.

mfit_client_files_write ~75

Update a student file: rename or change sharing settings. Bulk support: accepts file_ids for batched execution.

NameTypeReqDescription
accountstring––
clientsarray––
file_id–yes–
file_idsarray––
groupsarray––
nomestring––

No output schema declared.

No examples provided.

mfit_client_get ~143

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.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––
pagenumber––
page_sizenumber––
searchstring––
status–––

No output schema declared.

No examples provided.

mfit_client_list ~143

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.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––
pagenumber––
page_sizenumber––
searchstring––
status–––

No output schema declared.

No examples provided.

mfit_client_list_groups ~145

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.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––
pagenumber––
page_sizenumber––
searchstring––
status–––

No output schema declared.

No examples provided.

mfit_client_write_create ~185

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.

NameTypeReqDescription
accountstring––
birthDatestring––
blockOverdueboolean––
client_id–––
client_idsarray––
emailstring––
genderstring––
groupId–––
lastNamestring––
namestring––
phonestring––

No output schema declared.

No examples provided.

mfit_client_write_deactivate ~186

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.

NameTypeReqDescription
accountstring––
birthDatestring––
blockOverdueboolean––
client_id–––
client_idsarray––
emailstring––
genderstring––
groupId–––
lastNamestring––
namestring––
phonestring––

No output schema declared.

No examples provided.

mfit_client_write_update ~185

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.

NameTypeReqDescription
accountstring––
birthDatestring––
blockOverdueboolean––
client_id–––
client_idsarray––
emailstring––
genderstring––
groupId–––
lastNamestring––
namestring––
phonestring––

No output schema declared.

No examples provided.

mfit_get_anamnesis_models ~42

Get available anamnesis form templates (e.g. PAR-Q) that can be sent to students.

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_get_client_count ~28

Get a summary count of active and inactive students.

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_get_client_evaluations ~54

Get evaluations for one or many students: heart rate zones, VO2max, and training frequency.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––

No output schema declared.

No examples provided.

mfit_get_client_notes ~48

Read notes/observations for one or many students (bulk via client_ids).

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––

No output schema declared.

No examples provided.

mfit_get_client_notes_write ~70

Save (overwrite) notes/observations for a student. Replaces any existing notes text. Bulk support: accepts client_ids for batched execution.

NameTypeReqDescription
accountstring––
client_id–yes–
client_idsarray––
notesstringyes–

No output schema declared.

No examples provided.

mfit_get_client_workouts ~50

Get all workout routines assigned to one or many students. Supports bulk via client_ids.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––

No output schema declared.

No examples provided.

mfit_get_exercise_favorites ~27

Get the trainer's favorite exercises.

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_get_feedbacks ~64

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.

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_get_finances ~50

Get financial overview: transactions in date range, wallet/payment info, seller status.

NameTypeReqDescription
accountstring––
end_datestringyes–
start_datestringyes–

No output schema declared.

No examples provided.

mfit_get_invoices ~47

Get invoices/billing for one or many students (bulk via client_ids).

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––

No output schema declared.

No examples provided.

mfit_get_profile ~35

Get the trainer's own MFIT profile: name, email, plan, payment country.

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_get_retention ~51

Get student retention dashboard: active clients, engagement rate, growth rate, churn rate, NPS. Compare current period vs previous.

NameTypeReqDescription
accountstring––
periodstring––

No output schema declared.

No examples provided.

mfit_get_retention_clients ~83

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.

NameTypeReqDescription
accountstring––
statusstring––

No output schema declared.

No examples provided.

mfit_get_today_checkins ~55

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.

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_get_training_frequency ~70

Get which days one or many students trained in a date range. Returns true/false per day of week.

NameTypeReqDescription
accountstring––
client_id–––
client_idsarray––
end_datestringyes–
start_datestringyes–

No output schema declared.

No examples provided.

mfit_get_training_ranking ~90

Ranking of students who trained the most in a period (default: current month). Uses bulk frequency checks and returns top performers.

NameTypeReqDescription
accountstring––
end_datestring––
include_frequency_payloadboolean––
limitnumber––
monthstring––
start_datestring––
statusstring––

No output schema declared.

No examples provided.

mfit_get_user_exercises ~27

Get custom exercises created by the trainer.

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_get_workout_library ~73

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.

NameTypeReqDescription
accountstring––
folder_idnumber––
folder_idsarray––
typenumber––

No output schema declared.

No examples provided.

mfit_list_accounts ~95

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).

NameTypeReqDescription
accountstring––

No output schema declared.

No examples provided.

mfit_search_exercises ~67

Search the exercise library by name (Portuguese or English). Returns exercise name, category, muscle group, and video/image URL.

NameTypeReqDescription
accountstring––
hits_per_pagenumber––
pagenumber––
querystringyes–

No output schema declared.

No examples provided.

mfit_workout_delete_exercise ~180

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.

NameTypeReqDescription
accountstring––
exercise_session_id–––
exercise_session_idsarray––
routine_id–––
routine_idsarray––
session_id–––
session_idsarray––

No output schema declared.

No examples provided.

mfit_workout_delete_routine ~180

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.

NameTypeReqDescription
accountstring––
exercise_session_id–––
exercise_session_idsarray––
routine_id–––
routine_idsarray––
session_id–––
session_idsarray––

No output schema declared.

No examples provided.

mfit_workout_delete_session ~178

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.

NameTypeReqDescription
accountstring––
exercise_session_id–––
exercise_session_idsarray––
routine_id–––
routine_idsarray––
session_id–––
session_idsarray––

No output schema declared.

No examples provided.

mfit_workout_get_routine ~109

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.

NameTypeReqDescription
accountstring––
routine_id–––
routine_idsarray––
session_id–––
session_idsarray––

No output schema declared.

No examples provided.

mfit_workout_get_session ~107

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.

NameTypeReqDescription
accountstring––
routine_id–––
routine_idsarray––
session_id–––
session_idsarray––

No output schema declared.

No examples provided.

mfit_workout_write_add_exercise ~593

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.

NameTypeReqDescription
accountstring––
allowPdfDownloadboolean––
client_id–––
client_idsarray––
daynumber––
difficultynumber––
endDatestring––
exercise_id–––
exercise_idsarray––
exercise_session_id–––
exercise_session_idsarray––
goalnumber––
instructionsstring––
namestring––
repsstring––
reststring––
routine_id–––
routine_idsarray––
serie_id–––
serie_idsarray––
session_id–––
session_idsarray––
showTrainingTimeboolean––
startDatestring––
trainingTypenumber––
weightstring––

No output schema declared.

No examples provided.

mfit_workout_write_archive_routine ~593

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.

NameTypeReqDescription
accountstring––
allowPdfDownloadboolean––
client_id–––
client_idsarray––
daynumber––
difficultynumber––
endDatestring––
exercise_id–––
exercise_idsarray––
exercise_session_id–––
exercise_session_idsarray––
goalnumber––
instructionsstring––
namestring––
repsstring––
reststring––
routine_id–––
routine_idsarray––
serie_id–––
serie_idsarray––
session_id–––
session_idsarray––
showTrainingTimeboolean––
startDatestring––
trainingTypenumber––
weightstring––

No output schema declared.

No examples provided.

mfit_workout_write_create_routine ~593

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.

NameTypeReqDescription
accountstring––
allowPdfDownloadboolean––
client_id–––
client_idsarray––
daynumber––
difficultynumber––
endDatestring––
exercise_id–––
exercise_idsarray––
exercise_session_id–––
exercise_session_idsarray––
goalnumber––
instructionsstring––
namestring––
repsstring––
reststring––
routine_id–––
routine_idsarray––
serie_id–––
serie_idsarray––
session_id–––
session_idsarray––
showTrainingTimeboolean––
startDatestring––
trainingTypenumber––
weightstring––

No output schema declared.

No examples provided.

mfit_workout_write_create_session ~591

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.

NameTypeReqDescription
accountstring––
allowPdfDownloadboolean––
client_id–––
client_idsarray––
daynumber––
difficultynumber––
endDatestring––
exercise_id–––
exercise_idsarray––
exercise_session_id–––
exercise_session_idsarray––
goalnumber––
instructionsstring––
namestring––
repsstring––
reststring––
routine_id–––
routine_idsarray––
serie_id–––
serie_idsarray––
session_id–––
session_idsarray––
showTrainingTimeboolean––
startDatestring––
trainingTypenumber––
weightstring––

No output schema declared.

No examples provided.

mfit_workout_write_unarchive_routine ~595

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.

NameTypeReqDescription
accountstring––
allowPdfDownloadboolean––
client_id–––
client_idsarray––
daynumber––
difficultynumber––
endDatestring––
exercise_id–––
exercise_idsarray––
exercise_session_id–––
exercise_session_idsarray––
goalnumber––
instructionsstring––
namestring––
repsstring––
reststring––
routine_id–––
routine_idsarray––
serie_id–––
serie_idsarray––
session_id–––
session_idsarray––
showTrainingTimeboolean––
startDatestring––
trainingTypenumber––
weightstring––

No output schema declared.

No examples provided.

mfit_workout_write_update_routine ~593

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.

NameTypeReqDescription
accountstring––
allowPdfDownloadboolean––
client_id–––
client_idsarray––
daynumber––
difficultynumber––
endDatestring––
exercise_id–––
exercise_idsarray––
exercise_session_id–––
exercise_session_idsarray––
goalnumber––
instructionsstring––
namestring––
repsstring––
reststring––
routine_id–––
routine_idsarray––
serie_id–––
serie_idsarray––
session_id–––
session_idsarray––
showTrainingTimeboolean––
startDatestring––
trainingTypenumber––
weightstring––

No output schema declared.

No examples provided.

mfit_workout_write_update_serie ~593

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.

NameTypeReqDescription
accountstring––
allowPdfDownloadboolean––
client_id–––
client_idsarray––
daynumber––
difficultynumber––
endDatestring––
exercise_id–––
exercise_idsarray––
exercise_session_id–––
exercise_session_idsarray––
goalnumber––
instructionsstring––
namestring––
repsstring––
reststring––
routine_id–––
routine_idsarray––
serie_id–––
serie_idsarray––
session_id–––
session_idsarray––
showTrainingTimeboolean––
startDatestring––
trainingTypenumber––
weightstring––

No output schema declared.

No examples provided.

report_bug ~50

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

NameTypeReqDescription
contextstring––
conversationstring––
messagestringyes–

No output schema declared.

No examples provided.

show_version ~17

Show the current MCP platform and adapter versions.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

toolkit_info ~37

Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

Common questions

What is the MFIT Personal MCP server?

MFIT Personal is an MCP server listed in the public MCP registry as io.github.mcp-dir/mfit-mcp. Client, workout, body composition, retention and finance management for personal trainers. This page covers its hosted endpoint (https://api.mcp.ai/p_mfit).

Is the MFIT Personal MCP server safe to use?

MFIT Personal scores 67 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the MFIT Personal MCP server expose?

MFIT Personal exposes 48 tools: mfit_list_accounts, mfit_get_profile, mfit_client_list, mfit_client_get, mfit_client_list_groups, and 43 more. Their descriptions and schemas cost roughly 8,138 tokens of context every time the server is loaded.

Does the MFIT Personal MCP server require authentication?

No. We connected to MFIT Personal without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the MFIT Personal MCP server still maintained?

MFIT Personal is still listed as active in the MCP registry. We last reached this channel on 27 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.