How to Use the FirstQuadrant MCP in Google ADK
Native sales orchestration for Google ADK agents. Build high-scale marketing pipelines on Google Cloud infrastructure.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FirstQuadrant MCP to Google ADK
Create your Vinkius account to connect FirstQuadrant to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Google ADK agents and campaign execution
Integrate your sales logic into the Gemini ecosystem. Your agent uses `list_campaigns` and `create_campaign` to manage high-volume outreach. Trigger sequences with `sequence_campaign` and monitor their effectiveness using `get_campaigns_analytics`. Your agent reacts to data in real-time.
Data-driven contact enrichment with Google ADK
Use your agent to reconcile CRM data with external sources. `enrich_contact` and `enrich_company` provide the context needed for personalized outreach. Keep your database clean by querying `count_contacts` and `list_contacts`. The agent handles all record updates through `update_contact`.
Direct pipeline management for Google ADK
Your agent acts as a sales coordinator by managing deal flow. It uses `create_deal` and `update_deal` to reflect the latest status of every opportunity. Aggregated metrics are available via `get_deals_analytics`. Your agent monitors pipeline health and reports directly back to you.
Set up FirstQuadrant MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with FirstQuadrant tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="FirstQuadrant_agent",
model="gemini-2.0-flash",
instruction="You have access to FirstQuadrant tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FirstQuadrant. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about FirstQuadrant MCP in Google ADK
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