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Cerebras Inference MCP Server for Google ADKGive Google ADK instant access to 15 tools to Cancel Batch, Create Batch, Create Chat Completion, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Cerebras Inference as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Cerebras Inference MCP Server for Google ADK is a standout in the Ai Frontier category — giving your AI agent 15 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="cerebras_inference_agent",
    instruction=(
        "You help users interact with Cerebras Inference "
        "using 15 available tools."
    ),
    tools=[mcp_tools],
)
Cerebras Inference
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cerebras Inference MCP Server

Connect to the Cerebras Inference platform to leverage the world's fastest AI inference. This MCP server allows your AI agent to interact with state-of-the-art models like Llama 3.1 and others using the Cerebras Wafer-Scale Engine (WSE) for unprecedented performance.

Google ADK natively supports Cerebras Inference as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 15 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Chat & Text Completions — Generate high-speed responses using create_chat_completion and create_completion with support for streaming and tool calling.
  • Model Discovery — Explore available models and their specific details using list_models and get_model to choose the best fit for your task.
  • Batch Processing — Handle large-scale workloads asynchronously with create_batch, list_batches, and cancel_batch for efficient data processing.
  • File Management — Upload and manage JSONL files for batch jobs using upload_file and list_files directly from your agent.
  • Performance Metrics — Monitor your usage and performance metrics to optimize your inference workflows.

The Cerebras Inference MCP Server exposes 15 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 Cerebras Inference tools available for Google ADK

When Google ADK connects to Cerebras Inference through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-inference, wafer-scale, high-speed-ai, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel batch on Cerebras Inference

Cancel a batch job

create

Create batch on Cerebras Inference

Create a batch job for asynchronous processing

create

Create chat completion on Cerebras Inference

Generate conversational responses using a structured message format

create

Create completion on Cerebras Inference

Generate text continuations from a single prompt string

delete

Delete file on Cerebras Inference

Delete a file

get

Get batch on Cerebras Inference

Retrieve status of a batch job

get

Get file on Cerebras Inference

Retrieve metadata for a specific file

get

Get file content on Cerebras Inference

Download raw content of a file

get

Get metrics on Cerebras Inference

Retrieve Prometheus-formatted operational metrics

get

Get model on Cerebras Inference

Fetches details for a specific model

list

List batches on Cerebras Inference

List all batch jobs

list

List files on Cerebras Inference

List uploaded files

list

List models on Cerebras Inference

Lists all currently available models

list

List public models on Cerebras Inference

Retrieve model details without an API key

upload

Upload file on Cerebras Inference

Upload a JSONL file for Batch processing

Connect Cerebras Inference to Google ADK via MCP

Follow these steps to wire Cerebras Inference into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 15 tools from Cerebras Inference via MCP

Why Use Google ADK with the Cerebras Inference MCP Server

Google ADK provides unique advantages when paired with Cerebras Inference through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Cerebras Inference

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Cerebras Inference tools with BigQuery, Vertex AI, and Cloud Functions

Cerebras Inference + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Cerebras Inference MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Cerebras Inference and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Cerebras Inference tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Cerebras Inference regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Cerebras Inference

Example Prompts for Cerebras Inference in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Cerebras Inference immediately.

01

"List all available models on Cerebras."

02

"Generate a chat response using llama3.1-8b explaining quantum entanglement."

03

"Check the status of my batch job with ID 'batch_abc123'."

Troubleshooting Cerebras Inference MCP Server with Google ADK

Common issues when connecting Cerebras Inference to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Cerebras Inference + Google ADK FAQ

Common questions about integrating Cerebras Inference MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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