OpenAI MCP Client

Example Use Cases

• 1

  Send requests to OpenAI or OpenAI-compatible models through an MCP client for prototyping or integration.

• 2

  Run and test MCP server configurations locally (including using mcp-clickhouse example configuration and environment variables).

• 3

  Experiment with swapping model endpoints and configuration via environment variables (e.g., testing Deepseek or other model backends).

Description

This personal-learning project implements an MCP (Model Context Protocol) client that integrates with the OpenAI API (or OpenAI-compatible endpoints) to send model requests and manage configuration. It includes instructions to set up environment variables, example config for launching an MCP server (mcp-clickhouse), and uses the uv toolchain for environment and dependency management. The project is intended for prototyping and experimenting with MCP workflows and switching model endpoints via configuration.