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Unleash (Feature Toggles) MCP Server for Google ADKGive Google ADK instant access to 11 tools to Get Client Features, Get Frontend Features, List Environments, and more

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

Ask AI about this MCP Server for Google ADK

The Unleash (Feature Toggles) MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="unleash_feature_toggles_agent",
    instruction=(
        "You help users interact with Unleash (Feature Toggles) "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
Unleash (Feature Toggles)
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 Unleash (Feature Toggles) MCP Server

Connect your Unleash instance to any AI agent and gain full control over your feature management lifecycle through natural conversation.

Google ADK natively supports Unleash (Feature Toggles) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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

  • Feature Evaluation — Fetch all feature flags and strategies for server-side evaluation or evaluate specific flags for client-side contexts using User IDs and properties.
  • Project & Environment Audit — List all Unleash projects, environments, and segments to understand your infrastructure layout.
  • Flag Management — Inspect all feature flags within specific projects to verify rollout statuses and strategy configurations.
  • Metrics & Registration — Report SDK usage metrics and register new client or frontend instances directly through the agent.
  • User Management — Retrieve lists of users and segments to verify targeting rules and access.

The Unleash (Feature Toggles) MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Unleash (Feature Toggles) tools available for Google ADK

When Google ADK connects to Unleash (Feature Toggles) through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, feature-management, deployment-strategies, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get client features on Unleash (Feature Toggles)

Fetch all feature flags and strategies for server-side evaluation

get

Get frontend features on Unleash (Feature Toggles)

Optionally provide context like userId or properties. Fetch enabled feature flags for a specific Unleash Context

list

List environments on Unleash (Feature Toggles)

Fetches all environments configured in Unleash. List all Unleash environments

list

List project features on Unleash (Feature Toggles)

Fetches features for a given project ID. List all feature flags in a specific project

list

List projects on Unleash (Feature Toggles)

Fetches all projects configured in Unleash. List all Unleash projects

list

List segments on Unleash (Feature Toggles)

Fetches all segments configured in Unleash. List all Unleash segments

list

List users on Unleash (Feature Toggles)

Fetches all users configured in Unleash. List all Unleash users

register

Register client on Unleash (Feature Toggles)

Register a new backend SDK instance

register

Register frontend on Unleash (Feature Toggles)

Register a new frontend SDK instance

report

Report client metrics on Unleash (Feature Toggles)

Report flag usage metrics from a backend SDK

report

Report frontend metrics on Unleash (Feature Toggles)

Report flag usage metrics from a frontend SDK

Connect Unleash (Feature Toggles) to Google ADK via MCP

Follow these steps to wire Unleash (Feature Toggles) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind 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 11 tools from Unleash (Feature Toggles) via MCP

Why Use Google ADK with the Unleash (Feature Toggles) MCP Server

Google ADK provides unique advantages when paired with Unleash (Feature Toggles) 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 Unleash (Feature Toggles)

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 Unleash (Feature Toggles) tools with BigQuery, Vertex AI, and Cloud Functions

Unleash (Feature Toggles) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Unleash (Feature Toggles) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Unleash (Feature Toggles) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Unleash (Feature Toggles) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Unleash (Feature Toggles) 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 Unleash (Feature Toggles)

Example Prompts for Unleash (Feature Toggles) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Unleash (Feature Toggles) immediately.

01

"List all Unleash projects and their descriptions."

02

"What feature flags are enabled for user 'user_88' in the frontend?"

03

"Show me all feature flags in the 'Mobile-App' project."

Troubleshooting Unleash (Feature Toggles) MCP Server with Google ADK

Common issues when connecting Unleash (Feature Toggles) to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Unleash (Feature Toggles) + Google ADK FAQ

Common questions about integrating Unleash (Feature Toggles) 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.

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