Vectorizer AI MCP Server for Google ADKGive Google ADK instant access to 4 tools to Delete Image, Download Image, Get Account Status, and more
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Vectorizer AI 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 Vectorizer AI MCP Server for Google ADK is a standout in the Design Creative category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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="vectorizer_ai_agent",
instruction=(
"You help users interact with Vectorizer AI "
"using 4 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 Vectorizer AI MCP Server
Connect to Vectorizer AI to transform pixel-based images into clean, scalable vector graphics directly from your AI agent. This server leverages powerful AI algorithms to trace bitmaps and produce professional-grade SVG, EPS, PDF, and DXF files.
Google ADK natively supports Vectorizer AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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
- Vectorization — Convert JPG, PNG, or BMP files into vectors with precise control over colors, shapes, and stacking.
- Format Conversion — Export to multiple industry-standard formats including SVG, EPS, PDF, and DXF.
- Advanced Processing — Fine-tune results with custom palettes, minimum shape areas, and specific draw styles.
- Account Management — Check your API credit balance and manage stored images.
The Vectorizer AI MCP Server exposes 4 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 4 Vectorizer AI tools available for Google ADK
When Google ADK connects to Vectorizer AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning vectorization, svg-converter, image-processing, 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.
Delete image on Vectorizer AI
AI servers using its image token. Manually delete an image stored via policy.retention_days > 0
Download image on Vectorizer AI
Download a production result or additional formats
Get account status on Vectorizer AI
Fetch subscription status and remaining credits
Vectorize image on Vectorizer AI
Vectorize a bitmap image to SVG/EPS/PDF/DXF
Connect Vectorizer AI to Google ADK via MCP
Follow these steps to wire Vectorizer AI into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Vectorizer AI MCP Server
Google ADK provides unique advantages when paired with Vectorizer AI 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 Vectorizer AI
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 Vectorizer AI tools with BigQuery, Vertex AI, and Cloud Functions
Vectorizer AI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Vectorizer AI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Vectorizer AI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Vectorizer AI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Vectorizer AI regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Vectorizer AI
Example Prompts for Vectorizer AI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Vectorizer AI immediately.
"Vectorize this logo from https://example.com/logo.png into an SVG."
"I have an image token 'v_12345'. Can you download it as a DXF file for CNC?"
"Check my Vectorizer AI account balance."
Troubleshooting Vectorizer AI MCP Server with Google ADK
Common issues when connecting Vectorizer AI to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkVectorizer AI + Google ADK FAQ
Common questions about integrating Vectorizer AI 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?
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