Anthropic MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Anthropic as an MCP tool provider through the 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="anthropic_agent",
instruction=(
"You help users interact with Anthropic "
"using 10 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 Anthropic MCP Server
The Anthropic MCP Server enables seamless integration with Claude, the leading AI model for complex reasoning and creative tasks. This server allows your AI agent to interact with other Claude models, manage asynchronous batch processing, and optimize costs through direct API access.
Google ADK natively supports Anthropic as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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
- Direct Messaging — Send multi-turn messages and system prompts to any Claude model (Haiku, Sonnet, Opus).
- Asynchronous Batching — Create and manage high-volume message batches with 50% cost savings using the Message Batch API.
- Cost Estimation — Built-in tools to calculate the expected cost of your prompts based on token counts and current pricing.
- Rate Limit Monitoring — Keep track of your account's Requests Per Minute (RPM) and Tokens Per Minute (TPM) limits directly from your chat.
- Model Discovery — List all available models and check their specific technical capabilities.
The Anthropic MCP Server exposes 10 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 Anthropic to Google ADK via MCP
Follow these steps to integrate the Anthropic 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 10 tools from Anthropic via MCP
Why Use Google ADK with the Anthropic MCP Server
Google ADK provides unique advantages when paired with Anthropic 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 Anthropic
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 Anthropic tools with BigQuery, Vertex AI, and Cloud Functions
Anthropic + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Anthropic MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Anthropic and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Anthropic tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Anthropic regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Anthropic
Anthropic MCP Tools for Google ADK (10)
These 10 tools become available when you connect Anthropic to Google ADK via MCP:
cancel_batch
Cancel a pending Message Batch
check_rate_limits
Check current rate limits for your Anthropic account
create_batch
Saves 50% on token costs. Create a Message Batch for asynchronous processing
create_message
Returns the generated AI text response. Send a message to Claude
estimate_cost
Estimate the cost of a Claude request based on token counts
get_batch
Get status of a specific Message Batch
get_batch_results
Retrieve results of a completed Message Batch
get_model_specs
Get technical specifications for major Claude models
list_batches
List all Message Batches
list_models
List available Anthropic models
Example Prompts for Anthropic in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Anthropic immediately.
"List all available Claude models."
"What is the estimated cost for 50k input tokens and 10k output tokens using Claude 3 Opus?"
"Create a message batch with 100 requests for sentiment analysis."
Troubleshooting Anthropic MCP Server with Google ADK
Common issues when connecting Anthropic to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAnthropic + Google ADK FAQ
Common questions about integrating Anthropic 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 Anthropic 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Anthropic to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
