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Chameleon.io MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Chameleon.io 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="chameleonio_agent",
    instruction=(
        "You help users interact with Chameleon.io "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Chameleon.io
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 Chameleon.io MCP Server

Connect your Chameleon.io account to any AI agent and take full control of your user onboarding and product adoption experiences through natural conversation. Streamline how you guide and engage your users.

Google ADK natively supports Chameleon.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

  • Experience Oversight — List and retrieve details for all Chameleon tours, launchers, and microsurveys natively
  • User Segmentation — Access and monitor your configured user segments to understand targeting flawlessly
  • Response Auditing — Retrieve and analyze recent microsurvey responses to gather user feedback securely
  • User Intelligence — Identify and update user profiles with custom properties in real-time
  • Behavioral Tracking — Log and monitor custom user events to trigger the right experience at the right time flawlessly
  • Compliance Management — Handle data deletion requests by removing user records directly within your workspace

The Chameleon.io MCP Server exposes 8 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 Chameleon.io to Google ADK via MCP

Follow these steps to integrate the Chameleon.io 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 8 tools from Chameleon.io via MCP

Why Use Google ADK with the Chameleon.io MCP Server

Google ADK provides unique advantages when paired with Chameleon.io 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 Chameleon.io

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 Chameleon.io tools with BigQuery, Vertex AI, and Cloud Functions

Chameleon.io + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Chameleon.io 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 Chameleon.io

Chameleon.io MCP Tools for Google ADK (8)

These 8 tools become available when you connect Chameleon.io to Google ADK via MCP:

01

delete_chameleon_user

Permanently delete a user and their data from Chameleon

02

get_experience_details

Get details for a specific experience

03

identify_chameleon_user

Identify or update a user in Chameleon

04

list_chameleon_events

List recent events tracked by Chameleon

05

list_experiences

List all Chameleon experiences (Tours, Launchers, Microsurveys)

06

list_microsurvey_responses

List recent responses to microsurveys

07

list_user_segments

List all configured user segments

08

track_user_event

Track a custom event for a specific user

Example Prompts for Chameleon.io in Google ADK

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

01

"List all my active Chameleon experiences."

02

"Identify user 'user_999' with plan: 'enterprise' and industry: 'fintech'."

03

"Track a 'checkout_completed' event for user 'user_123'."

Troubleshooting Chameleon.io MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Chameleon.io + Google ADK FAQ

Common questions about integrating Chameleon.io 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 Chameleon.io to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.