# pilates_mcp

> pilates_mcp — sebit-provider-pilates-mcp. Use this tool when you need to streamline promotional materials and scheduling for Pilates centers, creating and reusing poster designs, and managing timetables. It solves problems of design consistency, feedback tracking, and schedule organization, accepting inputs like design templates and feedback, and outputting PNG/PDF artifacts and schedule posters. Ideal for use in fitness and wellness businesses requiring efficient marketing and scheduling management.

Canonical page: https://skillsregistry.net/skills/sebit-provider-pilates-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sebit-provider-pilates-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kowkn31x8z)
- **Repository:** <https://github.com/sebit-provider/pilates_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sebit-provider-pilates-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sebit-provider-pilates-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sebit-provider-pilates-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt