Stata-MCP

# Agent as Tool Often we want to use Agents to accomplish specific tasks, but sometimes configuring Agents, including writing prompts that require repeated debugging, can be challenging. This project provides a simpler solution to use Agents as tools, which can achieve excellent results with default prompts. Of course, if you want to customize your prompts and tool descriptions, the project also provides corresponding interfaces. ## Quickly Start If you have never install `stata-mcp`, `openai` and `openai-agents`, install them first, `pip` and `uv` are allowed. ```bash pip install stata-mcp ``` or ```bash uv add stata-mcp ``` Here is an example for use `stata-mcp` as a tool. ```python import asyncio from agents import Agent from stata_mcp.agent_as.agent_as_tool import StataAgent # init stata agent and set as tool stata_agent = StataAgent() sa_tool = stata_agent.as_tool() # Create main Agent agent = Agent( ..., tools=[sa_tool], ) # Then run the agent as usual. async def main(): ... if __name__ == "__main__": asyncio.run(main()) ``` ## Other Model Provider You can use any other model provider but `openai`, use the function `set_model` for change it, also you can use the model in ANY OPENAI-AGENT registry. Here is an example for using `DeepSeek` as model provider ```python import os from agents import Agent from stata_mcp.agent_as.agent_as_tool import StataAgent, set_model deepseek_model = set_model( model_name="deepseek-chat", api_key=os.getenv("DEEPSEEK_API_KEY"), base_url=os.getenv("DEEPSEEK_BASE_URL", "https://api.deepseek.com/v1") ) stata_agent = StataAgent(model=deepseek_model) agent = Agent( ..., tools=[stata_agent.as_tool, ...], ) ```