How to Use the ToolJet MCP in Google ADK

Q: How do I handle structured queries with ToolJet and Google ADK?

You use the querytable tool. Because you're building enterprise agents on Google Cloud, the agent can reason about the necessary SELECT statements before running them against your connected database.

Q: Does ToolJet guarantee reliable data writing with Google ADK?

Yes. The agent executes the write operation via insertrow. Since you're working in an enterprise environment, this tool ensures your structured input is reliably committed back into the database.

Connect agent actions directly to Google's data stack with the Google ADK.

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Connect ToolJet MCP to Google ADK

Create your Vinkius account to connect ToolJet 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 ToolJet with Google ADK

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Perplexity

Run SQL Select Queries on ToolJet

Need to analyze historical records? Use `query_table` to pull structured results from your database. The long-context reasoning of Gemini models pairs well with this, letting the agent interpret complex query requirements. The tool accepts standard SELECT operations, giving you clean data sets that can then feed into further analysis within Vertex AI or BigQuery.

Programmatic Data Insertion

The system supports writing back to your source of truth. When an agent determines a record needs creating, it calls `insert_row`. This commits the data directly into the ToolJet database. It makes the AI client act like a true backend service layer, updating records based on its reasoning.

Initiate External Workflows

Don't just read or write; make things happen. `trigger_workflow` lets your agent initiate complex processes outside the database itself. This is key for connecting data changes to operational systems. The Google ADK can manage this handoff, ensuring that a simple query leads to an entire automated sequence running across your cloud infrastructure.

Setup guide

Set up ToolJet 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 ToolJet 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="ToolJet_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ToolJet 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 ToolJet. 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 ToolJet MCP in Google ADK

You use the `query_table` tool. Because you're building enterprise agents on Google Cloud, the agent can reason about the necessary SELECT statements before running them against your connected database.

Absolutely. You can list tables to check the structure, query data, and then use `trigger_workflow` to execute a downstream process based on that retrieved information.

Yes. The agent executes the write operation via `insert_row`. Since you're working in an enterprise environment, this tool ensures your structured input is reliably committed back into the database.

This server handles relational, structured data. Tools like `query_table` and `list_tables` provide access to tables containing rows and defined fields.

The core functionality revolves around managing and querying structured relational data stored in a database table, allowing operations like reading rows, listing schemas, and inserting new records based on defined field types.

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