How do I find the Object Key for a specific table?

Use the `list_objects` tool. It will return all data objects in your application along with their names and unique keys (e.g., `object_1`). Use these keys for all subsequent record operations.

Can I search records using multiple conditions?

Yes. Use the `search_records` tool and provide a JSON array of filter objects. For example: `[{"field":"field_1", "operator":"is", "value":"active"}, {"field":"field_2", "operator":"contains", "value":"premium"}]`.

How do I know which fields to use when creating a record?

Use the `list_object_fields` tool with the target `object_key`. It will list all fields, their types, and their keys (e.g., `field_1`), which you must use as property names in your data JSON.

Knack MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Knack
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="knack_agent",
    instruction=(
        "You help users interact with Knack "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 Knack MCP Server

Connect your Knack application to any AI agent and take full control of your no-code database through natural conversation.

Google ADK natively supports Knack as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Database Schema Discovery — List all objects and fields to understand your data structure without leaving the chat
Record Management — Create, retrieve, update, and delete records in any object securely
Advanced Querying — Search for specific records using complex filters based on any field criteria
Data Auditing — Get detailed summaries of specific records to verify information or track changes
Bulk Operations — Effortlessly manage multiple records by providing structured data to your agent

The Knack MCP Server exposes 10 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.

How to Connect Knack to Google ADK via MCP

Follow these steps to integrate the Knack MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Knack via MCP

Why Use Google ADK with the Knack MCP Server

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

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

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

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

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

Knack + Google ADK Use Cases

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

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

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

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

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

Knack MCP Tools for Google ADK (10)

These 10 tools become available when you connect Knack to Google ADK via MCP:

create_record

You must provide the data as a JSON string where keys are the field keys (e.g., field_1). Ensure you have checked the object schema first to know which fields are required. Create a new record in a Knack object

delete_record

Use with caution as this action cannot be undone. Delete a record from a Knack object

get_object_schema

Returns metadata including the object name, key, and high-level structure. Use this to verify you are working with the correct database table. Get the schema of a specific Knack object

get_record

Requires both the object_key and the record_id. Use this for detailed auditing of a specific entry. Get a specific record by ID

list_account_applications

Use this to verify access or discover application IDs. List all applications in the account

list_object_fields

This is crucial for understanding the data types and identifying the field keys (field_1, field_2, etc.) needed for creating or updating records. List all fields for a specific Knack object

list_objects

This is the first step to understand the database structure and find the "Object Key" needed for record operations. List all objects in the Knack application

list_records

You must provide the object_key. Use this to browse the actual data stored in your database. List records for a specific Knack object

search_records

The filters must be provided as a JSON string following the Knack Filter format (e.g., "[{\"field\":\"field_1\", \"operator\":\"is\", \"value\":\"test\"}]"). Search for records using filters

update_record

Provide only the fields you wish to change in the JSON string data. This is a partial update. Update an existing record in a Knack object

Example Prompts for Knack in Google ADK

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

"List all database objects in my Knack app"

"Find all premium customers in 'object_1'"

"Create a new customer in 'object_1' with name 'Sarah' and email 'sarah@example.com'"

Troubleshooting Knack MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Knack + Google ADK FAQ

Common questions about integrating Knack MCP Server with Google ADK.

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.

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.

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.