VseGPT Image Generator MCP server for AI agents

The MCP Server for VseGPT is a Python implementation of the Model Context Protocol, which enables language models to interact with external context servers. These servers act as intermediaries between language models and external services, providing models with access to current data, the ability to perform real-world actions, and ensuring secure interaction with external systems.

Installation Requirements

To install and run the MCP servers, you'll need:

pip install fastmcp==0.4.1

The servers are built on Python and utilize the fastmcp package.

Available Servers

Image Generation Server

This server allows language models to generate images through VseGPT.

Setup and Configuration

Set the following environment variables:
- VSEGPT_API_KEY - Your VseGPT API key (required)
- IMG_MODEL_ID - ID of the image generation model (optional, default: img-dummy/image)
- IMG_SIZE - Image generation size (optional, default: 1024x1024)
Start the server:
```
fastmcp run mcp_gen_image.py
```

Generated images will be saved in the tmp_images folder located in the script's directory.

You can find configuration examples at: https://vsegpt.ru/ExtTools/CherryStudio

Text-to-Speech Server (Beta)

This server enables speech generation through VseGPT.

Setup and Configuration

Set the required environment variable:
```
VSEGPT_API_KEY=your_vsegpt_key
```
Start the server:
```
fastmcp run mcp_gen_tts.py
```

Generated audio files will be saved in the tmp_images folder and will automatically play using MPC-HC player.

Note: This is a beta feature and may require manual code adjustments for specific needs.

Server Architecture

The MCP servers for VseGPT are designed to be modular, with different functionalities implemented in separate servers. This approach allows for:

Dynamic enabling/disabling of features provided to models
Avoiding tool field and context overload
Maintaining clarity for the model's operation

Each server can be started independently according to the required functionality.

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "vsegpt-image-generator" '{"command":"fastmcp","args":["run","mcp_gen_image.py"],"env":{"VSEGPT_API_KEY":""}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "vsegpt-image-generator": {
            "command": "fastmcp",
            "args": [
                "run",
                "mcp_gen_image.py"
            ],
            "env": {
                "VSEGPT_API_KEY": ""
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "vsegpt-image-generator": {
            "command": "fastmcp",
            "args": [
                "run",
                "mcp_gen_image.py"
            ],
            "env": {
                "VSEGPT_API_KEY": ""
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect