Ticket Tailor API Integration MCP Server

@shakermakerk

リポジトリ

基本情報

カテゴリ

開発者ツール

ライセンス

MIT license

トランスポート

stdio

作者

shakermakerk

Ticket Tailor API Integration MCP Server について

概要はまだありません

#ticket-tailor#api-integration#python-wrapper

Ticket Tailor API Integration MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Ticket Tailor API Integration MCP Server のツール

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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Ticket Tailor API Integration?

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.

How to use Ticket Tailor API Integration?

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.

Key features of Ticket Tailor API Integration

Retrieve events with flexible filtering options
Fetch orders with comprehensive search parameters
Built on FastMCP for easy integration
Example agent included for LangChain React agents
Roadmap for implementing more API endpoints

Use cases of Ticket Tailor API Integration

Allow AI assistants to search and list events from Ticket Tailor
Enable chatbots to look up order information for customers
Build automated tools that manage ticket inventory and orders
Create AI-driven event management workflows

よくある質問

What are the installation requirements?

Python 3 and dependencies from `requirements.txt`. You also need a Ticket Tailor API key.

How do I configure the server?

Create a `.env` file in the root directory and add your Ticket Tailor API key based on the `.env_example` file.

Can I use this server with any LLM framework?

Yes, the server follows the MCP protocol. The README provides an example for LangChain React agents in `example_langgraph_agent.py`.

Does the server cover all Ticket Tailor API endpoints?

Not yet. Only retrieving events and orders are implemented. The project roadmap lists prioritized endpoints for future implementation.

How do I integrate with Cursor?

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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