Mcpx Openai Agents Py
What is Mcpx Openai Agents Py
mcpx-openai-agents-py is a Python library designed to utilize mcp.run tools in conjunction with the OpenAI Agents SDK, enabling developers to create and manage AI agents effectively.
Use cases
Use cases include developing educational applications that solve mathematical problems, creating automated agents for data retrieval, and enhancing interactive learning experiences.
How to use
To use mcpx-openai-agents-py, you need to install the library and then create an instance of the Agent class. You can call the run_sync method with a specific task, such as finding the largest prime number under 1000 that ends with the digit ‘3’.
Key features
Key features include seamless integration with OpenAI Agents SDK, synchronous execution of tasks, and the ability to handle complex queries efficiently.
Where to use
mcpx-openai-agents-py can be used in various fields such as data analysis, automated problem-solving, educational tools, and any application requiring intelligent agent capabilities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcpx Openai Agents Py
mcpx-openai-agents-py is a Python library designed to utilize mcp.run tools in conjunction with the OpenAI Agents SDK, enabling developers to create and manage AI agents effectively.
Use cases
Use cases include developing educational applications that solve mathematical problems, creating automated agents for data retrieval, and enhancing interactive learning experiences.
How to use
To use mcpx-openai-agents-py, you need to install the library and then create an instance of the Agent class. You can call the run_sync method with a specific task, such as finding the largest prime number under 1000 that ends with the digit ‘3’.
Key features
Key features include seamless integration with OpenAI Agents SDK, synchronous execution of tasks, and the ability to handle complex queries efficiently.
Where to use
mcpx-openai-agents-py can be used in various fields such as data analysis, automated problem-solving, educational tools, and any application requiring intelligent agent capabilities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
mcpx-openai-agents
A Python library for using mcp.run tools with the OpenAI Agents SDK
Example
agent = Agent()
results = agent.run_sync(
"find the largest prime under 1000 that ends with the digit '3'"
)
print(results.final_output)
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
