pilates_mcp
Local-first MCP server for Pilates centers that creates, searches, and reuses promotional poster HTML/CSS sources, records design feedback, and renders PNG/PDF artifacts with headless Chromium. It also includes a Schedule Workspace for managing group/private timetables and generating schedule posters.
README
pilates_mcp
pilates_mcp is a local-first MCP server for Pilates center promotional posters. It creates editable HTML/CSS poster sources, stores them in a local archive, searches and reuses past posters, records design feedback, and can render PNG/PDF artifacts with headless Chromium.
Phase 1 deliberately does not store member names, phone numbers, schedules, health data, payment data, or other member personal information.
Project Structure
This repository was empty at implementation time, so the server is implemented as a TypeScript + Node.js MCP server.
src/
server.ts MCP stdio JSON-RPC transport and tool dispatch
service.ts poster workflow orchestration
repository.ts local poster archive search/read/write
renderer.ts Playwright PNG/PDF renderer
templates.ts HTML/CSS template layer
feedback.ts design feedback storage
profile.ts center profile storage
themes.ts design token presets
types.ts domain types
data/
posters/YYYY/<poster-id>/
poster.html
poster.css
metadata.json
content.json
preview.png optional
poster.pdf optional
revisions/ update backups
feedback/
global.json
table.json
standard.json
poster-<poster-id>.json
config/
center-profile.json
schedules/
settings.json
center-closures.json
group/
template.json
group_schedule.xlsx
revisions/
private/
template.json
private_schedule.xlsx
revisions/
Install
npm install
npx playwright install chromium
Development
npm run build
npm test
npm run dev
PILATES_MCP_DATA_DIR can point the archive to another local data directory. If unset, the server uses ./data.
Railway Deployment
Railway deployment is configured with railway.json and Dockerfile.
The production container uses the official Playwright image so Chromium runtime dependencies are available for PNG/PDF rendering. Railway starts npm run start:railway, which exposes:
GET /health: deployment healthcheckGET /tools: MCP tool summary for deployment inspectionGET /schedule: lightweight Excel-style Schedule Workspace
The stdio MCP server remains available through npm run start for MCP clients that connect by command. The Railway health process is intentionally separate because stdio MCP does not expose an HTTP port.
For persistent local-first archive storage on Railway, mount a Railway volume at /data or set PILATES_MCP_DATA_DIR to another persistent path.
MCP Client Connection
Use the built server as a stdio MCP command:
{
"mcpServers": {
"pilates_mcp": {
"command": "node",
"args": ["G:/pilates_mcp/dist/src/server.js"],
"env": {
"PILATES_MCP_DATA_DIR": "G:/pilates_mcp/data"
}
}
}
}
Tools
Poster tools:
get_center_profileupdate_center_profilesearch_postersget_postercreate_posterupdate_posterreuse_poster_templateimport_posterrender_posteradd_design_feedbackget_design_feedbackrecommend_poster_style
Schedule tools:
get_schedule_settingsupdate_schedule_settingsinspect_schedule_fileimport_schedule_filecreate_schedule_templateget_schedulegenerate_weekly_scheduleset_schedule_slotclear_schedule_slotfind_available_slotsvalidate_scheduleadd_center_closureremove_center_closureget_center_closuressave_scheduleexport_schedulecreate_schedule_poster
Poster Creation Flow
create_poster reads the center profile, applies center defaults, validates the PosterBrief, gathers relevant feedback, resolves the layout and theme, renders static HTML/CSS, writes metadata/content/source files, and optionally renders PNG/PDF.
The required order is:
user request
-> center profile defaults
-> PosterBrief
-> validation
-> ask only missing questions
-> past posters and feedback
-> HTML/CSS
-> optional render
-> archive save
Required poster brief decisions are validated before generation:
eventNameprogramSeparationtablePreferencetableStylewhen a table is required or providedvatPolicywhen price content exists
The server returns valid: false, missing, and Korean questions instead of guessing missing event names, VAT policy, or program separation.
programSeparation and tableStyle are separate decisions. For example, group/private products can use programSeparation: "table" with tableStyle: "split" to render separate GROUP/PRIVATE table blocks. tablePreference represents user intent; layout is the final renderer choice.
Center defaults can reduce repeated questions:
{
"posterDefaults": {
"programSeparation": "table",
"tablePreference": "required",
"tableStyle": "split",
"vatPolicy": "excluded"
}
}
Priority is: current request and PosterBrief, then center profile defaults, then a validation response asking the user for only missing values. VAT is never inferred.
Examples
8월 회원권 가격표 포스터 생성
{
"title": "8월 회원권 이벤트",
"purpose": "event",
"brief": {
"eventName": "8월 회원권 이벤트",
"programCategories": ["private", "duet"],
"programSeparation": "table",
"tablePreference": "required",
"tableStyle": "comparison",
"vatPolicy": "excluded"
},
"content": {
"subtitle": "이번 달 특별 혜택",
"badge": "8월 EVENT",
"table": {
"columns": ["상품", "정상가", "이벤트가"],
"rows": [
["1:1 개인레슨 10회", "800,000원", "650,000원"],
["듀엣레슨 10회", "500,000원", "390,000원"]
],
"highlightColumn": 2
},
"footer": "선착순 마감"
},
"style": "premium",
"render": { "png": true, "pdf": true, "size": "instagram-portrait" }
}
작년 9월 포스터 틀 재사용
{
"sourcePosterId": "poster_20250901_ab12cd34",
"title": "2026년 9월 신규회원 이벤트",
"brief": {
"eventName": "9월 신규회원 이벤트",
"vatPolicy": "excluded"
},
"content": {
"subtitle": "올해 가격으로 업데이트",
"table": {
"columns": ["상품", "정상가", "이벤트가"],
"rows": [["1:1 개인레슨 10회", "820,000원", "670,000원"]],
"highlightColumn": 2
}
}
}
최근 1년 기록 기반 스타일 추천
{
"purpose": "event",
"month": 9,
"recentMonths": 12
}
Feedback
Feedback is stored in JSON files, not hard-coded. create_poster retrieves active global and layout-scoped feedback and includes it in the result as appliedFeedback.
Example:
{
"scope": "table",
"text": "이벤트가는 정상가보다 확실히 강조."
}
Rendering
render_poster uses Playwright Chromium with JavaScript disabled. Supported sizes:
instagram-portrait: 1080 x 1350instagram-square: 1080 x 1080story: 1080 x 1920a4-portrait: A4 portrait
HTML/CSS are the source of truth. PNG/PDF are optional rendered artifacts.
Schedule Workspace
Phase 2 adds a local-first Schedule Workspace for Pilates group/private timetables. It is not a CRM. Private schedules may contain displayName only for grid display and operational placement.
Core model:
ScheduleSettings: week display, opening/closing time, default slot minutes, holiday option, locale, country codeScheduleTemplate: explicit-save weekly group/private templateScheduleSlot: neutral domain slot separate from Excel cellsScheduleTemplateMapping: XLSX worksheet/header/time/day-column mappingCenterClosure: center-specific closed dates, separate from national holidays
set_schedule_slot changes an in-memory dirty workspace. It is not persisted until save_schedule is called. export_schedule writes XLSX and backs up an existing XLSX before replacing it.
Existing XLSX files are handled by inspect_schedule_file and import_schedule_file. The importer captures worksheet name, used range, day columns, time column, column widths, row heights, and merges where available. Formulas are not executed.
Holiday handling is provider-based. Phase 2 includes a local provider with basic KR holiday fixtures and can be replaced later by an external provider without changing the domain model. Center closures have priority over public holidays, but occupied slots are not silently deleted; warnings are returned.
Railway serves a lightweight Excel-style workspace at /schedule with sticky headers, direct cell editing, delete/backspace, and visible save state. MCP remains the source of actual schedule operations.
Schedule Examples
Scenario A, create a new group timetable when no file exists:
{
"scheduleType": "group",
"settings": {
"weekDisplay": "mon-sat",
"openingTime": "09:00",
"closingTime": "21:00",
"defaultSlotMinutes": 60,
"autoHolidayMarking": true,
"locale": "ko-KR",
"countryCode": "KR"
}
}
Scenario B, import an existing Excel file and generate next week:
{ "filePath": "fixtures/group_schedule.xlsx", "scheduleType": "group" }
{
"scheduleType": "group",
"weekStart": "2026-10-05",
"applyHolidays": true,
"applyCenterClosures": true
}
Scenario C, private schedule operation:
{
"scheduleType": "private",
"dayOfWeek": "monday",
"startTime": "19:00",
"displayName": "김OO"
}
Scenario D, group schedule poster:
{
"scheduleType": "group",
"weekStart": "2026-10-05",
"title": "9월 그룹레슨 시간표",
"render": { "png": true, "pdf": true, "size": "instagram-portrait" }
}
Security And Privacy
The archive uses generated poster IDs and validates poster IDs before file access. Archive-relative imports are checked to block ../ traversal and root escape. Generated poster HTML is static, user text is HTML-escaped, and remote scripts are not part of the template. Rendering disables JavaScript.
Phase 1 excludes member management, reservations, payments, SMS, Instagram posting, StudioMate integration, external design scraping, image generation AI, cloud DB requirements, and SaaS authentication.
Phase 2 permits only displayName as person-related schedule display data. It does not create fields for phone, email, address, birth date, gender, health condition, medical history, payment, membership, consultation, attendance profile, or marketing consent. Names are not used for profiling, analytics, poster feedback, marketing, or recommendations.
Phase 2 still excludes StudioMate integration, StudioMate scraping, Chrome extension automation, member CRM, contact management, payment management, attendance analysis, member preference profiling, automatic booking confirmation, SMS, KakaoTalk, Instagram posting, payroll, settlement, and complex ERP features.
Extension Points
The service/repository split keeps room for future semantic search or another index. External design references can be added later behind a provider interface such as:
interface DesignReferenceProvider {
search(query: string): Promise<DesignReference[]>;
}
Phase 1 does not implement scraping or copying external templates.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。