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VseGPT MCP Servers

by janvarev

This repository contains a set of MCP servers for VseGPT, written in Python. MCP servers act as an intermediary layer between language models and external services/data, providing a standardized interface for interaction.

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What is VseGPT MCP Servers?

MCP (Model Context Protocol) servers are designed to facilitate interaction between language models and external context servers. They provide models with access to up-to-date data and knowledge via APIs, enable real-world actions (e.g., sending emails, working with files), and ensure security when interacting with external systems.

How to use VseGPT MCP Servers?

To use these servers, you need Python and the fastmcp package (version 0.4.1). Each server represents a different function of VseGPT and can be run independently using the fastmcp run <server_name.py> command. Configuration is done via environment variables.

Key features of VseGPT MCP Servers

  • Provides access to external data for language models

  • Enables language models to perform real-world actions

  • Offers a standardized interface for interaction

  • Enhances security when working with external systems

  • Allows dynamic enabling/disabling of functionalities

Use cases of VseGPT MCP Servers

  • Generating images using VseGPT

  • Generating speech using VseGPT

  • Providing language models with up-to-date information

  • Automating tasks through language model interaction with external services

  • Creating custom tools for language models

FAQ from VseGPT MCP Servers

What is MCP?

MCP stands for Model Context Protocol. It's a protocol for interaction between language models and external context servers.

What is the purpose of MCP servers?

MCP servers provide language models with access to external data, enable them to perform actions in the real world, and ensure security when interacting with external systems.

What is required to run these servers?

You need Python and the fastmcp package (version 0.4.1).

How do I run a specific server?

Use the command fastmcp run <server_name.py>.

How do I configure the servers?

Configuration is done via environment variables. Refer to the server's documentation for specific environment variables.