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Openai Agents Chat Demo MCP Server

@zzqfsy

Repository

Basic information

Category

AI & Agents

License

Apache-2.0

Transports

stdio

Author

zzqfsy

About Openai Agents Chat Demo MCP Server

openai agents chat demo. integration custom llm and mcp server and function tool

#chatbot#openai#openai-agents

Openai Agents Chat Demo MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "openai-agents-chat-demo": {
      "command": "python",
      "args": [
        "app.py"
      ]
    }
  }
}

Openai Agents Chat Demo MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is openai-agents-chat-demo?

openai-agents-chat-demo is a chat conversation robot built on the OpenAI Agents framework. It integrates a custom LLM, an MCP server, and function tools, providing a web interface for interactive dialogue with conversation history and context management.

How to use openai-agents-chat-demo?

Install dependencies with pip install -r requirements.txt, then configure the settings in config.py. Run python app.py and access http://localhost:8050 to start using the chatbot.

Key features of openai-agents-chat-demo

  • Web-based chat interface
  • Conversation history and context management
  • Custom tool function integration
  • Built on OpenAI Agents framework

Use cases of openai-agents-chat-demo

  • Interactive chat with custom LLM and tools
  • Testing and prototyping OpenAI Agents framework capabilities
  • Demonstrating MCP server integration in a chat bot

Frequently asked questions

1

What are the system requirements?

Python 3.8+ and an LLM API key are required.

2

How do I run the demo?

Install dependencies, configure the settings, run `python app.py`, and then open http://localhost:8050 in a browser.

3

What features does it support?

It supports web-based chat, custom tool functions, conversation history, and context management.

4

What framework is used?

The demo is built on the OpenAI Agents framework.

Comments

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