What runtime environment does MCP-Server require?
It requires n8n version 1.0 or higher, an OpenAI API account, and an Airtable account with appropriate permissions.
MCP Server
@sushant1827
基本信息
关于 MCP Server
This repository contains workflow configurations for a Model Context Protocol (MCP) server that integrates AI capabilities with n8n automation platform.
MCP Server 配置
MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
概览
What is MCP-Server?
MCP-Server is a Model Context Protocol (MCP) server that integrates AI capabilities with the n8n automation platform. It exposes tools like social media post generation, Airtable todo list management, and a calculator through n8n's MCP Trigger.
How to use MCP-Server?
Import the two provided workflow JSON files into your n8n instance (version 1.0 or higher), configure OpenAI API credentials and an Airtable Personal Access Token, and activate both workflows. Interact with the server via its webhook endpoint at /test using the available tools.
Key features of MCP-Server
- AI-powered social media post generation via GPT-4o-mini
- Todo list management (list, add, update) through Airtable
- Built-in calculator tool for mathematical operations
- Extensible architecture for adding more AI tools
Use cases of MCP-Server
- Generate professional social media content from a simple query
- Manage a todo list by adding, listing, or updating items in Airtable
- Perform quick calculations through the n8n interface
常见问题
Which AI model is used for social media post generation?
The workflow uses OpenAI's GPT-4o-mini model.
What is the default Airtable configuration?
The workflows expect a base with ID `appEVZyRnoMDAkayU` and a table named "Table 1" with columns for Name (string) and Completed (boolean).
How can I add new tools to MCP-Server?
The architecture is extensible; you can contribute by adding new AI tools, improving existing ones, or fixing bugs via the repository.
What transport does the MCP server use?
The MCP Server workflow exposes a webhook endpoint at `/test` to receive and respond to tool calls.
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