What are the installation requirements?
Python 3 and dependencies from `requirements.txt`. You also need a Ticket Tailor API key.
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Python MCP wrapper for the Ticket Tailor API that enables LLMs to interact with Ticket Tailor. It is aimed at developers building AI agents that need to retrieve events, orders, and perform actions on ticket data.
Clone the repository, install dependencies, and create a .env file with your Ticket Tailor API key. Use the MCP server with Cursor by editing mcp.json or integrate it with your own agent frameworks (e.g., LangChain React agents). An example agent script is provided in example_langgraph_agent.py.
Python 3 and dependencies from `requirements.txt`. You also need a Ticket Tailor API key.
Create a `.env` file in the root directory and add your Ticket Tailor API key based on the `.env_example` file.
Yes, the server follows the MCP protocol. The README provides an example for LangChain React agents in `example_langgraph_agent.py`.
Not yet. Only retrieving events and orders are implemented. The project roadmap lists prioritized endpoints for future implementation.
Edit `mcp.json` to add a command entry: `"command": "mcp run /src/ticket_tailor/ticket_tailor_funcs.py"` (path may need adjustment).
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