SSE-based Server and mobile Angular App

by DrBenjamin

319 downloads

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About

MCP server for image recognition with Angular mobile client app.

Details

Author: DrBenjamin
Downloads: 319
Categories: Other

- SSE‑based MCP server for cloud‑native deployments
- Image recognition using OpenAI or local Ollama models
- Streamlit client app for desktop interaction
- Mobile Angular app built with Capacitor for iOS
- Docker support for hosting the MCP server
- Configurable system and user prompts for recognition

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name SSE-based Server and mobile Angular App

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

From the repository

Install Node.js, Python, and the MCP package, then clone the repository. Run the MCP server with python src/server.py (or mcp dev src/server.py for development) and launch either the Streamlit client (python -m streamlit run mobile/app.py) or the mobile Angular app (ng serve after installing dependencies). Configure the OpenAI or Ollama API key in .streamlit/st.secrets.toml.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "sse-based server and mobile angular app": {
            "imagerecog": {
                "command": "python",
                "args": [
                    "-m",
                    "pip",
                    "install",
                    "mcp[cli]"
                ]
            }
        }
    }
}

McpServers

{
    "imagerecog": {
        "command": "python",
        "args": [
            "-m",
            "pip",
            "install",
            "mcp[cli]"
        ]
    }
}

SSE-based Server and mobile Angular App

Image recognition tool on top of the MCP protocol. This project is designed to provide a simple and efficient way to recognize images using a server-client architecture.

Why?

MCP server can now be some running process that agents (clients) connect to, use, and disconnect from whenever and wherever they want. In other words, an SSE-based server and clients can be decoupled processes (potentially even, on decoupled nodes). This is different and better fits "cloud-native" use-cases compared to the STDIO-based pattern where the client itself spawns the server as a subprocess.

Setup

Install the required packages and the MCP server and client:

```bash

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

SSE-based Server and mobile Angular App

Setup

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