Initiates request via @plugin
AI Models & Assistants / Knowledge library
ChatGPT plugin platform
Adds skills and connected tools to ChatGPT workflows.
Why learn ChatGPT plugin platform?
Avoids copying context between supported applications.
The problem it solves
Connects an assistant to external app capabilities.
Where it came from
ChatGPT plugin platform: Adds skills and connected tools to ChatGPT workflows.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain what ChatGPT plugin platform does.
- Identify a use case for ChatGPT plugin platform.
- Describe a limitation of ChatGPT plugin platform.
- Name a compatible tool for ChatGPT plugin platform.
- Compare ChatGPT plugin platform against an alternative.
Documentation and sources
- Primary source / model card (learn.chatgpt.com)
Catalog research notes
- See the AI Workbench for source dates, pricing evidence and configuration details.
Connect the ideas
Built on
Enables
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Real World Example
Automated Inventory Reconciliation Plugin
E-commerce logistics teams managing multi-warehouse stock levels.
The business problem
Manual reconciliation between warehouse management systems and inventory databases causes significant data latency and frequent stock-out errors.
How this topic solves it
Deploy a custom plugin that bundles an MCP server to connect the inventory database with a skill-based instruction set for automated stock discrepancy reporting.
- Define an MCP server to interface with the warehouse database API for real-time stock retrieval.
- Create a skill containing reusable instructions for identifying and flagging stock discrepancies.
- Package the MCP server and skill into a plugin via the universal plugin directory.
- Install the plugin in the ChatGPT workspace and authenticate via the plugin's connection prompt.
- Invoke the plugin using the @ symbol in a new chat to trigger the reconciliation workflow.
The flow of data from the user prompt through the plugin architecture to the external database.
Orchestrates skill and MCP server
Executes API calls to database
External inventory system
- User → invokes → ChatGPT
- ChatGPT → calls tool → MCP Server
- MCP Server → queries → Database
Implementation example
This configuration maps the business scenario by defining the plugin structure, including the specific skill for reconciliation and the MCP server connection details required to reach the warehouse database.
{
"plugin_name": "InventoryReconciler",
"skills": ["reconcile_stock"],
"mcp_server": {
"endpoint": "https://api.warehouse.internal/mcp",
"auth": "oauth2"
}
}Expected business outcome
Logistics teams gain a unified, automated interface to query stock levels and generate discrepancy reports without manual database exports.
Limitations and checks
Plugin hooks are not supported in cloud-orchestrated ChatGPT Work environments, meaning automated background triggers for reconciliation must be handled by the MCP server logic rather than client-side hooks.