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Claid AI MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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="claid_ai_agent",
    instruction=(
        "You help users interact with Claid AI "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Claid AI
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 Claid AI MCP Server

Connect your Claid AI account to any AI agent and take full control of your image enhancement workflows through natural conversation. Transform basic product shots into professional photography instantly.

Google ADK natively supports Claid AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

  • AI Enhancement — Apply multiple enhancements like HDR adjustment, white balance, and polishing natively
  • Resolution Upscaling — Increase image dimensions using specialized AI models for photos and digital art flawlessly
  • Background Logistics — Remove or replace backgrounds with white or custom scenes securely
  • Task Oversight — Monitor the status of async processing tasks and retrieve results flawlessly
  • Canvas Control — Resize images to specific dimensions with intelligent fit/fill logic flawlessly
  • Account Visibility — Retrieve core account information and monitor your AI usage quotas directly within your workspace

The Claid AI MCP Server exposes 8 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 Claid AI to Google ADK via MCP

Follow these steps to integrate the Claid AI MCP Server with Google ADK.

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 8 tools from Claid AI via MCP

Why Use Google ADK with the Claid AI MCP Server

Google ADK provides unique advantages when paired with Claid AI 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 Claid AI

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 Claid AI tools with BigQuery, Vertex AI, and Cloud Functions

Claid AI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Claid AI MCP Server delivers measurable value.

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Claid AI 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 Claid AI

Claid AI MCP Tools for Google ADK (8)

These 8 tools become available when you connect Claid AI to Google ADK via MCP:

01

enhance_image

You can combine multiple operations like upscale, background removal, and HDR adjustment. Apply AI enhancements and edits to an image

02

get_claid_account_info

Retrieve core account and quota information

03

get_processing_task_details

Get the status and result of an async image processing task

04

list_available_ai_operations

List common AI operations supported by the Claid API

05

list_claid_collections

List image collections in your account

06

list_claid_webhooks

List configured webhooks for async notifications

07

remove_image_background

Quickly remove or replace the background of an image

08

upscale_image_resolution

Increase image resolution using AI models

Example Prompts for Claid AI in Google ADK

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

01

"Upscale this product photo to high resolution: https://example.com/shoe.jpg"

02

"Remove the background from this image: https://example.com/model.jpg"

03

"What is the status of processing task 'task_98765'?"

Troubleshooting Claid AI MCP Server with Google ADK

Common issues when connecting Claid AI to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Claid AI + Google ADK FAQ

Common questions about integrating Claid AI 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.

Connect Claid AI to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.