MCP with ChatGPT
How to Access a raia AI Agent via MCP in ChatGPT
This guide explains how to connect and use a raia AI Agent in ChatGPT using Model Context Protocol (MCP).
You will learn how to:
Enable Developer Mode
Create a Custom MCP App
Connect your raia MCP endpoint
Publish it to your workspace
Access and use the agent in ChatGPT
Overview
ChatGPT supports external AI agents via Model Context Protocol (MCP). By adding your raia MCP endpoint as a custom app, you can securely interact with your raia AI Agent directly inside ChatGPT.
⚠️ Note: Custom MCP servers are considered advanced configuration and may introduce risk if improperly configured. Only connect trusted endpoints.
Step 1: Enable Developer Mode
Open ChatGPT
Go to Settings
Click Apps
Select Advanced settings
Toggle Developer mode ON
When enabled:
You can add unverified MCP connectors
Memory is disabled for that chat session
You accept responsibility for the endpoint being added


Step 2: Create a New MCP App
In Settings → Apps
Click Create app
You will see the New App (Beta) screen.
Fill in the following:
App Configuration
Name
raia DIS (or your preferred agent name)
Description
Optional
MCP Server URL
Your raia MCP endpoint (e.g. https://api.raia2.com/mcp/{agent-id})
Authentication
Select No Auth (if your endpoint does not require OAuth)
Example MCP URL format:


Step 3: Accept Risk Acknowledgment
Before creating the app, you must confirm:
"I understand and want to continue"
This acknowledges:
OpenAI has not reviewed the MCP server
The endpoint could access or modify data
You trust the MCP server being connected
Check the confirmation box and click Create.
Step 4: Verify App Connection
After creation, you will see the app listed under:
Settings → Apps → Enabled apps
You should see:
Your app name (e.g.
raia DIS)A
DEVbadge (indicating developer mode)Connection status
Authorization used (None if No Auth)
You can:
Disconnect
Delete
Publish to workspace
Step 5 (Optional): Publish to Your Workspace
If you want others in your workspace to use the raia agent:
Click the app
Click the ••• menu
Select Publish
You will be prompted to:
Review potential risk: Unauthorized data access
Confirm understanding
Optionally configure action confirmations
Click Publish to make it available to workspace members.
After publishing, it will appear in the Apps Directory for your workspace.


Step 6: Use the raia Agent in Chat
Once enabled:
Open a new ChatGPT conversation
Type
@Select your raia agent (e.g.
@raia DIS)
You can now interact with your raia AI Agent directly within ChatGPT.
Example:
The MCP connection allows ChatGPT to:
Send structured requests to your raia agent
Execute defined MCP actions
Return responses in-chat
How It Works (Technical Summary)
ChatGPT connects to your MCP endpoint via Server-Sent Events (SSE)
The raia MCP server exposes defined actions
ChatGPT calls those actions when prompted
Responses are streamed back into the conversation
If Developer Mode is enabled:
Memory is disabled
The session does not retain long-term context
Security Considerations
When connecting MCP endpoints:
✔ Only use trusted HTTPS endpoints ✔ Restrict access where possible ✔ Audit usage periodically ✔ Avoid exposing sensitive actions without confirmation
When publishing to workspace:
Limit who can access the app
Configure action confirmations for consequential operations
Troubleshooting
App does not appear in chat
Confirm Developer Mode is enabled
Verify the app is listed under Enabled Apps
Refresh ChatGPT
MCP connection fails
Verify the endpoint URL is correct
Confirm the MCP server is reachable
Check SSL configuration
Actions not triggering
Confirm the MCP server exposes properly defined actions
Ensure the prompt clearly references the agent using
@agent-name
Summary
By connecting your raia AI Agent via MCP in ChatGPT, you enable:
Direct AI-agent interaction inside ChatGPT
Action execution against raia systems
Workspace-wide deployment (optional)
Secure, extensible agent integration
This allows raia agents to operate seamlessly within ChatGPT’s conversational interface while maintaining control through MCP.
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