About MCP-Server
MCP-Server is a set of n8n workflows that exposes AI and utility tools through an MCP server. It is intended for n8n users combining social post generation, Airtable todo management, and calculations.
Key features
- 01Social media post generation
- 02Airtable todo list management
- 03Calculator tool
- 04Extensible tool workflows
Use cases
- 01Generating professional social media content
- 02Listing, adding, or updating Airtable todos
- 03Performing calculations through an MCP client
MCP support
The n8n MCP Trigger exposes a calculator, social media content generation, and Airtable todo list operations as tools for MCP clients. The server workflow provides a `/test` webhook endpoint.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP-Server
This repository contains workflow configurations for a Model Context Protocol (MCP) server that integrates AI capabilities with n8n automation platform.
Overview
The project consists of two main components:
- MCP Server - A server that exposes AI tools through n8n's MCP Trigger and connects various services.
- Social Media Post Generator - A workflow that uses AI to create professional social media content.
Features
- AI-powered social media post generation
- Todo list management via Airtable
- Calculator functionality
- Extensible architecture for adding more AI tools
Workflows
MCP Server
The MCP Server workflow acts as the central hub for all AI functionality. It:
- Exposes a webhook endpoint at
/test - Provides access to the following tools:
- Calculator
- Social Media Post Generator
- Airtable Todo List Management (List, Add, Update)
Social Media Post Generator
This workflow is designed to:
- Accept a query input
- Use OpenAI's GPT-4o-mini model to generate professional social media content
- Return the generated content to the calling workflow
Requirements
- n8n version 1.0.0 or higher
- OpenAI API account
- Airtable account with appropriate permissions
Setup Instructions
-
Import Workflows
- Import
MCP_Server.jsonandSocial_Media_Post_Generator.jsoninto your n8n instance
- Import
-
Configure Credentials
- Set up OpenAI API credentials for the Chat Model node
- Configure Airtable Personal Access Token for the Airtable Tool nodes
-
Airtable Setup
- Ensure you have a base with ID
appEVZyRnoMDAkayU(or update the configuration to match your base) - Create a table named "Table 1" with columns:
- Name (string)
- Completed (boolean)
- Ensure you have a base with ID
-
Activate the Workflows
- Activate both workflows in your n8n instance
Usage
Using the MCP Server
The MCP Server exposes various AI capabilities through the n8n interface. You can interact with it by:
-
Creating Social Media Posts
Use the create_social_media_content tool with a query parameter -
Managing Todo Items
- List all todos using the List_ToDos tool - Add a new todo with the Add_ToDo tool (provide Name and Completed status) - Update an existing todo with the Update_ToDo tool (provide record ID, Name, and Completed status) -
Performing Calculations
Use the calculator tool for mathematical operations
Technical Details
Workflow Connections
- The MCP Server Trigger connects to all available tools
- The Social Media Post Generator is triggered by the Social Post Generator tool
- All Airtable operations are configured as separate tools
Configuration Notes
- The Social Media Post Generator uses the GPT-4o-mini model
- Airtable interactions are configured for a specific base and table
Contributing
Contributions are welcome! Here are some ways you can contribute:
- Add new AI tools to the MCP Server
- Improve existing tool functionality
- Create documentation and usage examples
- Fix bugs and optimize performance
Acknowledgements
- This project uses n8n (https://n8n.io) as the automation platform
- AI capabilities are powered by OpenAI's models
- Data storage is handled by Airtable
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.