Schema | Cerebras Multi-Model MCP Server

Cerebras Multi-Model MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`CEREBRAS_API_KEY`	Yes	Your Cerebras API key from https://cloud.cerebras.ai/
`OPENROUTER_API_KEY`	No	Optional OpenRouter API key for fallback

Features and capabilities supported by this server

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
cerebras_quickA	Fast code generation using Cerebras gpt-oss-120b (120B params). Fast model for simple edits, boilerplate, single-function generation. Use for trivial tasks where speed matters most.
cerebras_complexB	Heavy-duty code generation using Cerebras gpt-oss-120b (120B params). Large model for multi-file features, CRUD APIs, complex components, and demanding code generation tasks.
cerebras_reasoningA	Advanced reasoning code generation using Cerebras zai-glm-4.7 (355B params, reasoning_format:hidden). Most powerful model for algorithms, architecture decisions, advanced logic, and tasks requiring deep reasoning.
cerebras_instructB	Instruction-following code generation using Cerebras zai-glm-4.7 (355B params, reasoning_format:hidden). Instruction-tuned model for precise instruction following, documentation-heavy code, typed interfaces, and detailed specs.
cerebras_autoA	Auto-selects the best Cerebras model based on prompt complexity. Simple tasks use 8B, complex features use 120B, reasoning tasks use 357B, documentation tasks use 235B. Use this when unsure which model fits.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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