Anyscale MCP Server for Google ADK 7 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Anyscale 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
Vinkius supports streamable HTTP and SSE.
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="anyscale_agent",
instruction=(
"You help users interact with Anyscale "
"using 7 available tools."
),
tools=[mcp_tools],
)
* 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 Anyscale MCP Server
Connect your Anyscale environment to your AI agent and manage both AI inference and backend scalable infrastructure natively through natural conversation.
Google ADK natively supports Anyscale as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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
- Model Discovery and Querying — List all active foundational models inside your environment and send conversational or zero-shot instruct prompts
- Embeddings Pipeline — Generate semantic vector embeddings for arrays of text inputs directly in-flight
- Services Fleet — Monitor deployed Ray services, fetch cluster states, and map live service endpoint configurations
- Cluster Jobs — Query Ray batch jobs to inspect recent execution statuses and training metrics right from your terminal
The Anyscale MCP Server exposes 7 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Anyscale to Google ADK via MCP
Follow these steps to integrate the Anyscale MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 7 tools from Anyscale via MCP
Why Use Google ADK with the Anyscale MCP Server
Google ADK provides unique advantages when paired with Anyscale through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Anyscale
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Anyscale tools with BigQuery, Vertex AI, and Cloud Functions
Anyscale + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Anyscale MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Anyscale and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Anyscale tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Anyscale regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Anyscale
Anyscale MCP Tools for Google ADK (7)
These 7 tools become available when you connect Anyscale to Google ADK via MCP:
chat_completion
Pass an array of messages with roles (user, assistant, system). Generate conversational responses via Anyscale LLMs
generate_embeddings
Generate semantic vector embeddings for text
get_service
Retrieve details about a specific Anyscale service
list_jobs
List Anyscale batch or training jobs
list_models
g., meta-llama/Llama-2-70b-chat-hf). List available AI models on Anyscale Endpoints
list_services
List Anyscale deployed services
text_completion
Use for foundational instruct generation. Generate text completion using Anyscale generic completion API
Example Prompts for Anyscale in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Anyscale immediately.
"List all active models from my Anyscale cluster."
"Check the status of our latest training jobs."
"Generate vector embeddings for the text: 'The sun rises in the east and sets in the west'"
Troubleshooting Anyscale MCP Server with Google ADK
Common issues when connecting Anyscale to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAnyscale + Google ADK FAQ
Common questions about integrating Anyscale MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Anyscale with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Anyscale to Google ADK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
