Cerebras MCP by usefulapi
List models, read model details and send chat messages in Cerebras.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"cerebras": {
"url": "https://cerebras.usefulapi.io/mcp"
}
}
}Puntos de conexión remotos
https://cerebras.usefulapi.io/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (3)
🟢cerebras_list_models
List the models available to your Cerebras account (for example gpt-oss-120b, qwen-3.8-27b). Call this first, because model ids change. Cerebras API: GET /v1/models.
Esquema de entrada
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢cerebras_get_model(model_id)
Get one model by id: its id, object type, creation time and owner. Cerebras API: GET /v1/models/{model_id}.
Esquema de entrada
{
"type": "object",
"properties": {
"model_id": {
"type": "string",
"minLength": 1,
"description": "The model id, for example qwen-3.8-27b (from cerebras_list_models)."
}
},
"required": [
"model_id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢cerebras_chat_completion(model, messages, max_completion_tokens, temperature, top_p, ...)
Send a conversation to a Cerebras model and return its reply (the full API response: choices, message content, usage). Streaming is off. Output is model-generated text, not human-written. Each call uses tokens from your Cerebras limits. Cerebras API: POST /v1/chat/completions.
Esquema de entrada
{
"type": "object",
"properties": {
"model": {
"type": "string",
"minLength": 1,
"description": "The model id, for example gpt-oss-120b (from cerebras_list_models)."
},
"messages": {
"minItems": 1,
"maxItems": 100,
"type": "array",
"items": {
"type": "object",
"properties": {
"role": {
"type": "string",
"enum": [
"system",
"developer",
"user",
"assistant"
],
"description": "Who wrote the message."
},
"content": {
"type": "string",
"description": "The message text."
}
},
"required": [
"role",
"content"
]
},
"description": "The conversation so far, oldest first."
},
"max_completion_tokens": {
"description": "Upper limit on generated tokens, including reasoning tokens.",
"type": "integer",
"exclusiveMinimum": 0,
"maximum": 9007199254740991
},
"temperature": {
"description": "Sampling temperature (0 to 2).",
"type": "number",
"minimum": 0,
"maximum": 2
},
"top_p": {
"description": "Nucleus sampling (0 to 1).",
"type": "number",
"minimum": 0,
"maximum": 1
},
"reasoning_effort": {
"description": "Reasoning depth. Supported values differ by model; leave empty for the model default.",
"type": "string",
"enum": [
"none",
"low",
"medium",
"high",
"max"
]
}
},
"required": [
"model",
"messages"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Comunidad
Evidencia