- INFERENCE
- INVENTORY
- VALIDATION
- HUMAN
Short answer
How can I run model predictions with my AI?
You send data payloads directly to your deployed models on Baseten. Your AI uses the connection to trigger inference and returns the model's response to your chat interface. This allows you to test weights and verify outputs without leaving your client.
The results of your requests
Where your data lands
What happens after your AI interacts with Baseten.
INFERENCE
Live model runs
Your AI sends data to the GPU. You get the model's prediction back as text or structured data.
INVENTORY
Model visibility
Your agent identifies which models are currently active and ready for use. This keeps your prompts accurate.
VALIDATION
Output checking
You can immediately ask your AI to evaluate if the model's response meets your specific requirements.
HUMAN
Manual oversight
You decide if the prediction is good enough to use in your application or if you need to tweak the input.
The workflow
What your AI does when the request arrives.
The AI handles the communication between your prompt and the GPU hardware.
Identify available models
The AI checks which specific model endpoints are currently deployed and available for inference.
list_modelsFormat the payload
Your agent turns your natural language request into the specific JSON format the model expects.
predictExecute inference
The AI sends the formatted data to the Baseten endpoint to trigger the GPU workload.
predictDeliver the result
The AI receives the raw output from the model and presents it to you in the chat.
predict
Try it
Copy these to start.
Use these prompts to begin interacting with your models.
Starting points
Swap out the model names and data types for your specific use case.
Baseten Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Iok4x74580t8DfXgX0kQJnXTan6vttePrqZ5XRGU/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Baseten capabilities are ready to use.
{
"mcpServers": {
"baseten-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Iok4x74580t8DfXgX0kQJnXTan6vttePrqZ5XRGU/mcp"
}
}
}List my deployed models so I know what I can use.
Run a prediction on my image-gen model using this description: a sunset over a neon city.
Check my sentiment-analysis model with the text: 'The service was okay, but the food was cold.'
What models do I have available right now?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Baseten once, then ask.
You only need to link your account once. Your credentials stay encrypted, and you can start running predictions immediately.
Connect Baseten to your AIFAQ
Common questions
- 01
Can my AI deploy new models to Baseten?
No. The AI can only interact with models that are already deployed and listed in your account.
- 02
Can the AI change my GPU instance types?
No. The AI can only trigger predictions on existing endpoints; it cannot modify your Baseten infrastructure or hardware settings.
- 03
How does the AI know which model to use?
It uses the list of available models to identify the correct endpoint for the task you described.
- 04
Does the AI see my raw data?
Yes, the AI must process your input to format the payload for the model prediction.
- 05
Can I use this to monitor model costs?
No. This connector is for running predictions and listing models, not for accessing billing or usage metrics.
More questions about Baseten? The Connector page answers them. See everything the Baseten Connector can do
Connect Baseten to Claude, Cursor, ChatGPT & more
