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by baklai • APIs & Integration
A simple example client demonstrating how to use the Model Context Protocol (MCP) with the OpenAI API to run chat-based agents that call external MCP servers.
Prototype integrations with local or custom MCP servers (datetime, system info, weather, filesystem) in a chat-driven workflow
A starting example showing how to wire the OpenAI API to MCP servers and pass conversation context to external tools
A lightweight reference for environment variables and example agent configuration for connecting multiple MCP servers
This repository provides a minimal example of building a chat-context MCP client using the OpenAI API. It shows how to configure and connect to various MCP servers (e.g., datetime, systeminfo, weather, filesystem) and how chat messages and tool responses are handled. The project highlights limitations (only text-type tool responses) and includes example configuration and environment variables for easy prototyping. It's intended as a starter template for developers building MCP-enabled agents.
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