VseGPT
Facilitates interaction between language models and external services via a standardized Model Context Protocol (MCP).
About
This repository hosts a collection of MCP servers designed for use with VseGPT, built in Python. These servers act as an intermediary layer between language models and external services or data sources, providing a standardized interface for interaction using the Model Context Protocol (MCP). The MCP protocol enables language models to access real-time data, perform actions in the real world (e.g., sending emails, file operations), and ensure secure interaction with external systems. The modular design allows for dynamic enabling and disabling of functionalities, preventing the overloading of the model's context.
Key Features
- Configuration through environment variables
- Provides an interface for image generation through VseGPT
- 1 GitHub stars
- Supports text-to-speech generation using VseGPT
- Supports dynamic enabling/disabling of functionalities
- Utilizes fastmcp package for MCP server functionality
Use Cases
- Extending the capabilities of language models with real-world interactions
- Generating speech from text using VseGPT
- Generating images based on language model prompts
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