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Baserow MCP Server for Google ADKGive Google ADK instant access to 9 tools to Create Row, Delete Row, Get Row, and more

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Baserow as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The Baserow app connector for Google ADK is a standout in the Developer Tools category — giving your AI agent 9 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="baserow_alternative_agent",
    instruction=(
        "You help users interact with Baserow "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)
Baserow
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Baserow MCP Server

Connect your Baserow account to any AI agent and take full control of your no-code relational databases and automated data management workflows through natural conversation.

Google ADK natively supports Baserow as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Workspace & Database Orchestration — List and monitor your entire Baserow ecosystem programmatically, from high-level workspaces to individual database applications
  • Schema Intelligence — Access and manage tables and fields within your databases to maintain a perfectly coordinated high-fidelity data structure in real-time
  • Row Lifecycle Management — Programmatically list, create, update, and delete rows in any table, retrieving detailed high-fidelity records using custom field names
  • Search & Discovery — Use semantic keywords to search for specific records across your tables to maintain a perfectly coordinated digital ledger
  • Infrastructure Monitoring — Retrieve metadata for database tokens and verify account-level permissions directly through your agent for instant reporting

The Baserow MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 Baserow tools available for Google ADK

When Google ADK connects to Baserow through Vinkius, your AI agent gets direct access to every tool listed below — spanning no-code, relational-database, data-schema, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_row

Provide data as a JSON string of field names and values. Create a new row in a table

delete_row

Delete a specific row

get_row

Get details for a specific row

list_applications

List all Baserow applications (databases)

list_fields

List fields in a table

list_rows

Supports search and pagination. List rows in a table

list_tables

List tables in a database

list_workspaces

List all Baserow workspaces

update_row

Provide data as a JSON string. Update an existing row

Connect Baserow to Google ADK via MCP

Follow these steps to wire Baserow into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 9 tools from Baserow via MCP

Why Use Google ADK with the Baserow MCP Server

Google ADK provides unique advantages when paired with Baserow through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Baserow

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Baserow tools with BigQuery, Vertex AI, and Cloud Functions

Baserow + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Baserow MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Baserow and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Baserow tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Baserow regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Baserow

Example Prompts for Baserow in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Baserow immediately.

01

"List all active database applications in my Baserow account."

02

"Show the records in table ID '456' from the 'Customer CRM' database."

03

"Search for 'John Doe' in table '456'."

Troubleshooting Baserow MCP Server with Google ADK

Common issues when connecting Baserow to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Baserow + Google ADK FAQ

Common questions about integrating Baserow MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.