How to Use the LeadSquared MCP in Google ADK

Q: How do I connect the LeadSquared MCP Server to my Google ADK agent?

Initialize McpToolset using the StreamableHttpServerParameters with your Vinkius endpoint URL. Pass this toolset into your LlmAgent configuration. Your Gemini model can then call any of the ten tools.

Q: Can I restrict which LeadSquared tools the Google ADK agent can access?

Yes, use the optional toolnames filter in the toolset configuration. This lets you restrict your agent to read-only tools like getleaddetails or listleadactivities. It prevents unauthorized modifications.

Q: Does my agent create custom activities in LeadSquared?

Yes, your agent queries listactivitytypes to see what your CRM supports. It then uses createprospectactivity to log specific events like webinar attendance or document downloads.

Connect your Gemini agents directly to LeadSquared with the Google ADK to turn pipeline data into closed deals.

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Connect LeadSquared MCP to Google ADK

Create your Vinkius account to connect LeadSquared to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup LeadSquared with Google ADK

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Gemini-Driven Lead Capture via Google ADK

This MCP Server lets your Google ADK agent call `capture_lead` or `create_or_update_lead` to process messy transcripts or long emails. It extracts key details and updates your CRM without manual data entry. Your agent instantly matches incoming details with existing records using email or phone criteria. This keeps your CRM clean while Gemini processes high-volume inbound streams.

BigQuery and LeadSquared Synchronization

Connect your cloud data warehouse to your active sales pipeline by letting your agent call `create_prospect_activity` to update CRM status. It bridges the gap between cold data analytics and real-time sales actions. The agent queries `list_activity_types` to ensure the logged events match your LeadSquared configuration. This prevents database errors during high-volume syncs.

Autonomous Opportunity Management

Let your enterprise agents manage pipeline progression by using `create_opportunity` to spin up deals when big accounts show high intent. The agent uses the MCP connection to trigger this action based on real-time triggers. To keep deals moving, the agent monitors progress by calling `list_opportunities` and `list_opportunity_activities`. This gives your sales team immediate visibility into automated pipeline updates.

Setup guide

Set up LeadSquared MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(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 LeadSquared tools in your ADK agent.

agent.py

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="LeadSquared_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LeadSquared tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeadSquared. 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.

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Common questions about LeadSquared MCP in Google ADK

Initialize `McpToolset` using the `StreamableHttpServerParameters` with your Vinkius endpoint URL. Pass this toolset into your `LlmAgent` configuration. Your Gemini model can then call any of the ten tools.

Yes, use the optional `tool_names` filter in the toolset configuration. This lets you restrict your agent to read-only tools like `get_lead_details` or `list_lead_activities`. It prevents unauthorized modifications.

The ADK manages tool execution sequentially within your agent's reasoning loop. If you run high-volume operations like `search_leads`, implement backoff logic in your Python runtime. This keeps your API keys safe from throttling.

Yes, your agent queries `list_activity_types` to see what your CRM supports. It then uses `create_prospect_activity` to log specific events like webinar attendance or document downloads.

The MCP Server runs inside an isolated V8 sandbox on Vinkius. We never cache or inspect your opportunity values, lead names, or activity logs. All communication is encrypted in transit and processed ephemerally.

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