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

Built by Vinkius GDPR 10 Tools SDK

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

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="nyckel_ml_agent",
    instruction=(
        "You help users interact with Nyckel ML "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Nyckel ML
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 Nyckel ML MCP Server

Connect your Nyckel machine learning account to your AI agent and leverage powerful automated classification and semantic search through natural conversation.

Google ADK natively supports Nyckel ML 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

  • Automated Classification — Send text or image URLs to your trained ML functions to get instant predictions and confidence scores.
  • Semantic Search — Query your search function galleries to find semantically similar samples based on input data.
  • Function Management — List all ML functions in your account and retrieve detailed configuration and metadata.
  • Training Oversight — Access the data samples used to train your functions and monitor assigned labels.
  • Sample Annotation — Upload new training samples and manually assign or update classification labels.
  • Label Discovery — Retrieve the set of all available labels and categories defined for your ML models.
  • Account Insights — Access profile and workspace metadata for your authenticated Nyckel account.

The Nyckel ML 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 Nyckel ML to Google ADK via MCP

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

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 10 tools from Nyckel ML via MCP

Why Use Google ADK with the Nyckel ML MCP Server

Google ADK provides unique advantages when paired with Nyckel ML 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 Nyckel ML

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 Nyckel ML tools with BigQuery, Vertex AI, and Cloud Functions

Nyckel ML + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Nyckel ML 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 Nyckel ML

Nyckel ML MCP Tools for Google ADK (10)

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

01

annotate_ml_sample

Assign label to a sample

02

create_ml_sample

Add a training sample

03

delete_ml_function

Delete an ML function

04

get_account_info

Get current account info

05

get_ml_function

Get specific function info

06

invoke_ml_function

Classify data using a function

07

list_ml_functions

) in your account. List all ML functions

08

list_ml_labels

List available labels

09

list_ml_samples

List training samples

10

semantic_search

Perform semantic search

Example Prompts for Nyckel ML in Google ADK

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

01

"Classify this text: 'The delivery was very late and the food was cold' using function ID 'func_123'."

02

"Search my product gallery for an image similar to 'https://example.com/shoe.jpg' using function 'func_search_99'."

03

"List all the machine learning functions in my Nyckel account."

Troubleshooting Nyckel ML MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Nyckel ML + Google ADK FAQ

Common questions about integrating Nyckel ML 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.

Connect Nyckel ML to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.