SketricGen MCP Server for Google ADKGive Google ADK instant access to 18 tools to Check Sketricgen Status, Delete Conversation, Get Agent, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add SketricGen as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The SketricGen app connector for Google ADK is a standout in the Developer Tools category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="sketricgen_agent",
instruction=(
"You help users interact with SketricGen "
"using 18 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 SketricGen MCP Server
Empower your AI agents to securely orchestrate complex workflows using the SketricGen platform. With 18 dedicated tools, your AI can now programmatically trigger multi-agent tasks, inject relevant contacts into context, construct searchable knowledge bases, and granularly inspect execution traces.
Google ADK natively supports SketricGen as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 18 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
- Execute complex multi-agent workflows programmatically
- Create and query vector-searchable knowledge bases
- Debug executions with full tracing capabilities
- Track tool calls and credit consumption per run
- Access and manage CRM-style contact profiles
- Maintain distinct conversation histories
Who is it for?
Designed for AI engineers, prompt designers, and automation teams seeking an advanced orchestration layer with full traceability for complex agentic workflows.The SketricGen MCP Server exposes 18 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.
All 18 SketricGen tools available for Google ADK
When Google ADK connects to SketricGen through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, multi-agent-systems, knowledge-base, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Delete conversation
Get agent details
Get contact details
Get conversation
Get knowledge base
Get trace details
Get trace credit usage
Get workflow details
List AI agents
List contacts
List conversations
List knowledge bases
List templates
List execution traces
List workflows
Run AI workflow
Run workflow for contact
Connect SketricGen to Google ADK via MCP
Follow these steps to wire SketricGen into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the 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 SketricGen MCP Server
Google ADK provides unique advantages when paired with SketricGen 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 SketricGen
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 SketricGen tools with BigQuery, Vertex AI, and Cloud Functions
SketricGen + Google ADK Use Cases
Practical scenarios where Google ADK combined with the SketricGen MCP Server delivers measurable value.
Enterprise data agents: ADK agents query SketricGen and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine SketricGen tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query SketricGen regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including SketricGen
Example Prompts for SketricGen in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with SketricGen immediately.
"Run my customer support agent workflow in SketricGen with the question 'How do I reset my password?'"
"Show me the execution trace and credit usage for my last SketricGen workflow run."
"List all knowledge bases in SketricGen and show which agents are connected to each."
Troubleshooting SketricGen MCP Server with Google ADK
Common issues when connecting SketricGen to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSketricGen + Google ADK FAQ
Common questions about integrating SketricGen MCP Server with Google ADK.