How to Use the Ninox MCP in Google ADK
Connect Gemini's million-token context with your Ninox databases using the Google ADK MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ninox MCP to Google ADK
Create your Vinkius account to connect Ninox 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.
Deep Ninox schema analysis for Gemini agents
`get_database_schema` pulls raw Ninox table configurations into Gemini's massive context window via the Google ADK. This tool lets your enterprise agent understand complex relational structures across multiple Ninox databases instantly. Combining this Ninox schema data with Google ADK's native BigQuery integration allows your agent to cross-reference cloud analytics with live Ninox records. You get unified data reasoning without writing manual migration scripts.
Filtered Ninox data retrieval with Google ADK
`list_records` queries specific tables inside your Ninox workspace based on runtime parameters generated by Google ADK. The Google ADK passes these parameters directly from Gemini prompts, returning structured Ninox rows for your agent to analyze. You can restrict the Ninox tools exposed to Google ADK by setting the `tool_names` filter on your `McpToolset`. This prevents Gemini from calling write tools when it only needs to read.
Update Ninox records using this MCP Server
`update_record` modifies existing rows in your Ninox tables when your Google ADK agent detects changes in external Google Cloud data sources. This keeps your relational database in sync with your Google Cloud infrastructure. The MCP Server manages the HTTP transport to execute these Ninox updates securely for Google ADK. Your Gemini agent receives confirmation of the update, which it can then log to Vertex AI tracing.
Set up Ninox MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Ninox tools in your ADK agent.
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="Ninox_agent",
model="gemini-2.0-flash",
instruction="You have access to Ninox tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ninox. 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 Ninox MCP in Google ADK
Use it with your favorite AI tools
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