How To Connect MCP Servers To OpenAI ChatGPT

Key Concepts:

• MCP (Model Control Plane) Servers: Allow OpenAI models to access external applications and services.
• Zapier: An AI orchestration platform that connects various applications and automates workflows.
• Tools: Actions or capabilities (e.g., sending emails, accessing Google Sheets) that are given to the AI model.
• OpenAI Developer Playground: A user interface for testing and customizing OpenAI models.
• System Message: Provides context and instructions to the AI model on how to interact with user messages.
• User Message: The prompt or input provided by the user to the AI model.
• Temperature: A parameter that controls the randomness and creativity of the AI model's output.

1. Connecting Zapier to OpenAI MCP Server

• The video demonstrates how to connect Zapier to an OpenAI MCP server, enabling AI models to interact with external applications.
• Steps:
  1. Sign up for an OpenAI developer account.
  2. Create an MCP server and select Zapier as the integration.
  3. Obtain the API key from Zapier.
  4. Copy the API key and paste it into the OpenAI developer playground to connect.
• After connecting, the available tools (actions from Zapier) will be displayed.

2. Adding and Customizing Tools (Gmail Example)

• Tools represent the capabilities that the AI model can use.
• Example: Adding a Gmail tool to allow the AI model to send emails.
• Steps:
  1. Click "Add Tool" and select Gmail.
  2. Choose the "Send Email" action.
  3. Customize the tool by setting specific fields (e.g., setting the email importance to "important").
• The video mentions that Zapier integrates with a wide range of apps, which can be used as tools.

3. Using the OpenAI Developer Playground

• The developer playground allows for customization of the AI model and its outputs.
• Key features:
  • Model Selection: Choose the desired OpenAI model (e.g., GPT-4.1).
  • Output Adjustment: Control the format and consistency of the AI model's output using parameters like temperature.
  • System Message: Define the context and instructions for the AI model.
  • User Message: Provide the prompt or input to the AI model.
• The system message is crucial for structuring the AI model's responses. Example: "You are here to help me write emails... Email structure should be: 1. Summary of the email, 2. Itinerary of the area, and 3. A funny joke about the area."

4. Example: Planning a Day Trip to San Francisco

• The video demonstrates a real-world application of the MCP server by planning a day trip to San Francisco.
• Steps:
  1. Provide a user message: "I'm going to San Francisco with my friend."
  2. The AI model generates an email with a summary, itinerary, and a joke about San Francisco based on the system message.
  3. The user can refine the email by providing additional instructions.
  4. The user can then send the email to a friend by providing their email address.
• The AI model is smart enough to omit unnecessary verbiage (e.g., "Summary of email") in the final output.

5. Integrating Web Search and Other Tools

• The video shows how to integrate web search into the workflow.
• Example: Asking the AI model to find tickets to Alcatraz and add the booking link to the email.
• This demonstrates the power of using multiple tools to create complex actions.

6. Code Generation and Integration

• The OpenAI developer playground allows users to generate code for the entire workflow.
• This enables developers to integrate the workflow into their own applications.
• The video highlights the convenience of using the drag-and-drop interface to create complex code.

7. Notable Quotes and Statements

• "Think of Zapier like an AI orchestration platform that gives you the ability to access an entire ecosystem."
• "A tool is the capabilities that we're going to give our model."
• "Big thing about system instructions is all about structure structure structure and structure."

8. Technical Terms and Concepts

• MCP (Model Control Plane) Server: A server that allows AI models to access external applications and services.
• API Key: A unique identifier used to authenticate and authorize access to an API.
• Temperature: A parameter that controls the randomness and creativity of the AI model's output. Lower temperatures result in more consistent outputs, while higher temperatures result in more creative outputs.
• System Message: Instructions given to the AI model to define its role and behavior.
• User Message: The prompt or input provided by the user to the AI model.

9. Logical Connections

• The video starts by introducing Zapier and its capabilities.
• It then explains how to connect Zapier to an OpenAI MCP server.
• Next, it demonstrates how to add and customize tools (Gmail example).
• It then shows how to use the OpenAI developer playground to plan a day trip to San Francisco.
• Finally, it demonstrates how to integrate web search and generate code for the workflow.

10. Synthesis/Conclusion

The video provides a comprehensive guide on how to connect Zapier to an OpenAI MCP server and leverage the OpenAI developer playground to create AI-powered workflows. By adding tools and customizing the system message, users can create AI models that can interact with external applications and perform complex actions. The ability to generate code for the workflow makes it easy to integrate these capabilities into existing applications. The key takeaway is that MCP servers and platforms like Zapier unlock the potential of AI models by enabling them to access and interact with the real world.