广告合作
MCP.so
登录

Sleeek MCP Server - Production Ready

@ShhhShaq

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

ShhhShaq

关于 Sleeek MCP Server - Production Ready

暂无概览

#sleeek-mcp-server#photo-assessment#context-aware

Sleeek MCP Server - Production Ready 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Sleeek MCP Server - Production Ready 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Sleeek MCP Server - Production Ready?

This MCP server provides context-aware photo assessment for SleeekApp, enabling progressive feedback, angle change detection, and constraint learning across photo attempts. It is designed for developers integrating intelligent photo review into iOS applications.

How to use Sleeek MCP Server - Production Ready?

Deploy to Railway or run locally. Set the OPENAI_API_KEY environment variable. For iOS integration, update the bridge URL in MCPClient.swift to point to your deployed server. Send POST requests to /assess with image data, room type, shoot ID, and current angle.

Key features of Sleeek MCP Server - Production Ready

  • Context memory across assessment attempts
  • Angle change detection (>30° triggers context reset)
  • Progressive acceptance (3 attempts maximum)
  • Constraint learning and feedback refinement
  • Future agentic capabilities (multi‑step planning, cross‑room optimization)

Use cases of Sleeek MCP Server - Production Ready

  • Improve room photo composition with progressive, non‑repetitive feedback
  • Automatically detect and handle camera angle changes for fresh assessments
  • Integrate context‑aware photo review into the SleeekApp iOS client
  • Build a foundation for multi‑step, personalized style adaptation

常见问题

1

How do I deploy this server?

Push the code to a GitHub repository, then create a new Railway project from that repo. Add the `OPENAI_API_KEY` environment variable in Railway and deploy. Railway provides a public URL.

2

What does the /assess endpoint expect?

It expects a JSON body with `imageBase64` (base64‑encoded image), `roomType`, `shootId`, and `currentAngle` (pitch, yaw, roll). It returns feedback, attempt number, score, and acceptability.

3

How does the server handle angle changes?

If the camera moves more than 30° from the previous assessment, the server detects that change and resets its context, starting a fresh evaluation from the new angle.

4

What is progressive acceptance?

The server allows up to 3 assessment attempts per context. After the third attempt, it will accept the photo regardless of score, preventing endless feedback loops.

5

What are the planned future capabilities?

The architecture supports multi‑step planning, cross‑room optimization, learning from all users, personalized style adaptation, and integration with other tools.

评论

其他 分类下的更多 MCP 服务器

The Living Bread

The Living Bread

A free remote MCP server for The Living Bread. Bible passages read word for word from a stored public domain text with an evidence label, keyword search and cross references, real churches, gatherings and prayer groups w

EverArt

modelcontextprotocol

Model Context Protocol Servers

88.1K

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

Senso MCP for Joomla

sensomedia

Senso MCP turns a Joomla 5 or 6 site into a remote MCP server. It runs inside Joomla itself (no extra server, no Node.js bridge) and is secured with OAuth 2.1 and Joomla's own ACL. The free pack lets an AI assistant crea

广告合作