How to Use the Sansan MCP in Google ADK

Q: How do I register the Sansan MCP toolset in Google ADK?

Install the SDK via pip install google-adk and create an McpToolset pointing to your Vinkius server URL. Pass this toolset directly to your LlmAgent instance to make all card tools available.

Q: Can I limit which Sansan tools Google ADK can access?

Yes, you can use the toolnames parameter in your McpToolset configuration to restrict access. For example, you can expose only searchbizcards and getbizcard while blocking internal user lists.

Q: Can my agent find internal users in Sansan?

Yes, the listusers tool lets your agent retrieve a list of all registered users in your organization. This helps the agent route newly scanned contacts to the correct internal account owner.

Feed Sansan contact networks directly into your Google ADK pipelines to ground Gemini models with real business card data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Sansan MCP to Google ADK

Create your Vinkius account to connect Sansan to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Sansan with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Grounding Gemini with physical card scans

The `get_biz_card` tool retrieves exact business card details to ground Gemini's long-context reasoning in real-world contact data. Your Google ADK agent calls this tool to pull names, emails, and phone numbers directly into its million-token context window. You configure this connection by running `pip install google-adk` and defining an `McpToolset` with your Vinkius HTTP endpoint for this MCP Server. Pass this toolset into the `LlmAgent` constructor to give your Gemini models direct access to physical card records.

Cross-referencing BigQuery with Google ADK

The `search_biz_cards` tool allows your agent to find specific business cards and cross-reference them with enterprise data warehouses. By combining this MCP tool with native BigQuery integrations, your agent can match offline networking events to online customer lifecycles. This integration runs over standard HTTP or Stdio transports. You can use the optional `tool_names` filter in your `McpToolset` configuration to restrict your agent's access to specific search tools, ensuring strict data access controls across your Google Cloud infrastructure.

Mapping corporate structures at scale with Google ADK

The `list_departments` tool exposes organizational divisions, enabling your agent to reconstruct complex corporate hierarchies. Your Google ADK agent queries this endpoint alongside `list_users` to understand who owns which client relationship inside your company. Because Gemini handles massive context lengths, your agent can ingest entire lists of departments and users in a single turn. This allows the model to perform deep network analysis, identifying internal connection paths to target accounts without losing track of details.

Setup guide

Set up Sansan 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 Sansan 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="Sansan_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Sansan tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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

Connect Sansan now

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 Sansan MCP in Google ADK

Install the SDK via `pip install google-adk` and create an `McpToolset` pointing to your Vinkius server URL. Pass this toolset directly to your `LlmAgent` instance to make all card tools available.

Yes, you can use the `tool_names` parameter in your `McpToolset` configuration to restrict access. For example, you can expose only `search_biz_cards` and `get_biz_card` while blocking internal user lists.

Gemini's large context window allows your Google ADK agent to ingest raw outputs from `list_persons` and `list_tags` simultaneously. The agent analyzes these lists in a single prompt to find hidden connections across accounts.

Yes, the `list_users` tool lets your agent retrieve a list of all registered users in your organization. This helps the agent route newly scanned contacts to the correct internal account owner.

Your contact details and business card data are processed in ephemeral, zero-trust V8 isolates managed by the MCP Server on Vinkius. The Google ADK agent receives this data via secure HTTP, keeping sensitive corporate contact information out of public model training logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript