About DeepChat 好用的图像 MCP Server 集合
A collection of image MCP servers focused on image processing services from China, intended for DeepChat users. It can run locally or in the cloud and currently implements poster generation, with SSE integration for DeepChat.
Key features
- 01Poster generation
- 02Local or cloud deployment
- 03SSE integration with DeepChat
Use cases
- 01Generate posters in DeepChat
- 02Run image processing locally
MCP support
It provides image-processing capabilities to DeepChat as an MCP server; poster generation is the currently implemented function.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEDeepChat 好用的图像 MCP Server 集合
专注于国产图像处理的聚合 MCP Server，使用 ThinkInAIXYZ/go-mcp 构建，方便本地或云端服务部署。
使用方法
- 配置环境变量，参考 env.sh.example
- 本地运行服务
go run main.go
- DeepChat 配置SSE并触发使用
请参考文章 海报生成 MCP Server 与 DeepChat 无缝集成
实现功能
- 海报生成
- 图像风格化
- 线稿生成
- 换脸
- 换衣
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.