VseGPT MCP Servers
@janvarev
Basic information
About VseGPT MCP Servers
MCP сервера для VseGPT
VseGPT MCP Servers config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryVseGPT MCP Servers tools
Tool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is VseGPT MCP Servers?
VseGPT MCP Servers is a set of Model Context Protocol (MCP) servers written in Python, designed to extend language models with access to VseGPT’s image generation and text-to-speech APIs. It serves as an intermediary layer between LLMs and external services, providing a standardized interface for data and actions.
How to use VseGPT MCP Servers?
Install Python and the fastmcp package (version 0.4.1 at launch). Set the required environment variable VSEGPT_API_KEY. Run a server with the command fastmcp run mcp_gen_image.py or fastmcp run mcp_gen_tts.py. For image generation, optionally set IMG_MODEL_ID (default img-dummy/image) and IMG_SIZE (default 1024x1024).
Key features of VseGPT MCP Servers?
- Image generation via VseGPT API
- Text-to-speech generation (beta)
- Files saved to
tmp_imagesfolder - Modular architecture per function
- Tools can be toggled on/off per server
Use cases of VseGPT MCP Servers?
- Generate
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