How to Use the Nango (Unified API & Integration Platform) MCP in Google ADK

Q: How do I start using Nango (Unified API & Integration Platform) with the Google ADK?

Just install the google-adk, instantiate an McpToolset with your Vinkius server URL, and pass it to your LlmAgent. The agent will automatically have access to tools like listconnections and listsyncs.

Q: Can my Gemini agent filter data from Nango (Unified API & Integration Platform) before it gets to my Google ADK?

Yes. When your agent calls a tool like listrecords, it can pass parameters to filter by provider or connection ID. This lets you fetch only the specific data needed for a task, which is more efficient than pulling everything.

Connect your Gemini agent to third-party SaaS data with Google ADK. Query Nango to audit connections and sync data for analysis in BigQuery.

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Connect Nango (Unified API & Integration Platform) MCP to Google ADK

Create your Vinkius account to connect Nango (Unified API & Integration Platform) 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 Nango (Unified API & Integration Platform) with Google ADK

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Give Your Google ADK Agent API Context

Your Gemini agent can't act on data it can't see. This MCP server exposes your Nango integration layer, letting the agent run `list_integrations` to see every SaaS tool you're connected to. It's the first step to building enterprise-wide awareness. Your agent can then use the results to reason about your stack. With Gemini's long context window, it can hold the entire list from `list_connections` in its memory to spot patterns or identify which APIs are feeding your datasets in BigQuery.

Diagnose Sync Failures Instantly

When a data pipeline breaks, you need answers fast. Your agent can call `list_syncs` to get a full report on recent Nango synchronization jobs. It sees what ran, when it ran, and whether it succeeded or failed. This gives your agent the facts it needs to take action within your Google Cloud environment. It can check `get_connection` to confirm credentials are valid and, if not, trigger a notification through Google Cloud Pub/Sub. No more manual log digging.

Unify Records for Analysis

Nango provides a unified data model, and this MCP Server makes it available to your agent. A call to `list_records` fetches data from any connected source—Salesforce, Hubspot, you name it—in a consistent format. Your Gemini agent can then process these records and load them into a BigQuery table for analysis. It closes the loop between third-party SaaS tools and your core Google Cloud data warehouse, all orchestrated by your agent.

Setup guide

Set up Nango (Unified API & Integration Platform) 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 Nango (Unified API & Integration Platform) 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="Nango (Unified API & Integration Platform)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nango (Unified API & Integration Platform) 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 Nango. 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 Nango (Unified API & Integration Platform) MCP in Google ADK

The MCP server handles authentication and provides a standardized interface for your Google ADK agent. You don't need to manage API keys or write custom HTTP request logic in your agent code. The `McpToolset` makes it plug-and-play.

Absolutely. The server is hosted by Vinkius with production-grade reliability. Your agent running on a GKE cluster or Cloud Function can securely call the MCP endpoint to manage your Nango integrations.

Just install the `google-adk`, instantiate an `McpToolset` with your Vinkius server URL, and pass it to your `LlmAgent`. The agent will automatically have access to tools like `list_connections` and `list_syncs`.

Yes. When your agent calls a tool like `list_records`, it can pass parameters to filter by provider or connection ID. This lets you fetch only the specific data needed for a task, which is more efficient than pulling everything.

The server only queries for integration configurations and sync logs from Nango. When accessing actual business data with `list_records`, each request is isolated in its own sandboxed environment. Your Vinkius endpoint token is the only secret you need to manage; the underlying Nango credentials are not exposed.

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