- DISCOVERY
- SPECIFICS
- SELECTION
- HUMAN
Short answer
How can I see which models are available and get their details?
Your agent uses Cerebras Inference to pull a full list of available models and fetch specific technical specs for any model you choose. This lets you pick the right model for your task without manual searching. You'll see exactly what's available and how each model behaves.
Model management outcomes
Where your model data lands
What happens when your agent interacts with the inference engine.
DISCOVERY
Full model inventory
The AI pulls a complete list of every model currently running on the engine. You get a clear view of your options.
SPECIFICS
Deep model details
Your agent fetches technical parameters for a specific model. This ensures you know the exact capabilities before you send a prompt.
SELECTION
Right tool for the job
The AI compares available models against your task requirements. It suggests the best fit based on the data it retrieves.
HUMAN
Final decision making
The AI presents the model specs, but you decide which one to commit to. You maintain full control over which model processes your data.
The workflow
What your AI does when you ask about models.
The AI acts as your interface to the Cerebras Inference engine.
Inventory check
The AI scans the engine to see what models are active and ready for use.
list_modelsTechnical lookup
Once you pick a model, the AI pulls its specific configuration and details.
get_modelCapability matching
The AI compares your task needs against the retrieved model specs.
list_modelsget_modelSelection confirmation
The AI presents the best model option for your approval.
get_model
Try it
Copy these to start.
Use these prompts to begin managing your models.
Starting points
These are opening lines. Swap out the model names or task descriptions to fit your needs.
Cerebras Inference Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_xAZFRBg8VLAlPUucEoLSiFDXRg3Jdk9xiofskaFP/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 — Cerebras Inference capabilities are ready to use.
{
"mcpServers": {
"cerebras-inference-mcp": {
"url": "https://edge.vinkius.com/vk_preview_xAZFRBg8VLAlPUucEoLSiFDXRg3Jdk9xiofskaFP/mcp"
}
}
}What models are currently available through Cerebras Inference?
Can you give me the details for the Llama-3-70B model?
Which available model should I use for a high-speed reasoning task?
Show me the technical specifications for the latest model in the list.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Cerebras Inference once, then ask.
Just click the link to connect. Your credentials stay encrypted, and you can immediately start asking your AI about available models.
Connect Cerebras Inference to your AIFAQ
How model management behaves
- 01
Can the AI switch models automatically?
No. The AI can identify which models are available and suggest the best one, but you must decide which model to use for your task.
- 02
Can the AI change the model's configuration?
No. The tools only allow the AI to list and retrieve model details. It cannot modify how a model is configured on the engine.
- 03
How do I know if a model is ready to use?
The AI uses the list tool to show you only the models that are currently active and accessible.
- 04
Does the AI see my prompt data when looking up models?
No. When the AI is just browsing the model list or fetching model specs, it isn't interacting with your specific prompt content.
- 05
Can I use these tools to check model pricing?
No. The available tools are limited to listing models and getting their technical details.
More questions about Cerebras Inference? The Connector page answers them. See everything the Cerebras Inference Connector can do
Connect Cerebras Inference to Claude, Cursor, ChatGPT & more
