Can I see how many users completed a specific tour?

Yes! Use the `get_experience_details` tool with the tour's unique ID. The agent will return engagement metrics including completion counts and active status.

How do I identify a user to start showing them tours?

Use the `identify_chameleon_user` tool. Provide a unique user ID and any relevant custom properties. This allows Chameleon to target that user with the appropriate segments and experiences.

Where do I find my Chameleon Account Secret?

Log in to your Chameleon Dashboard, navigate to 'Settings' in the sidebar, and then select 'API'. You can view and copy your Account Secret from there.

Chameleon.io MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Chameleon.io
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Chameleon.io through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Chameleon.io Assistant",
            instructions=(
                "You help users interact with Chameleon.io. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Chameleon.io"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 8 tools from Chameleon.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Chameleon.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Chameleon.io MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Chameleon.io

Why Use OpenAI Agents SDK with the Chameleon.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Chameleon.io through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Chameleon.io + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Chameleon.io MCP Server delivers measurable value.

Automated workflows: build agents that query Chameleon.io, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Chameleon.io, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Chameleon.io tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Chameleon.io to resolve tickets, look up records, and update statuses without human intervention

Chameleon.io MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Chameleon.io to OpenAI Agents SDK via MCP:

delete_chameleon_user

Permanently delete a user and their data from Chameleon

get_experience_details

Get details for a specific experience

identify_chameleon_user

Identify or update a user in Chameleon

list_chameleon_events

List recent events tracked by Chameleon

list_experiences

List all Chameleon experiences (Tours, Launchers, Microsurveys)

list_microsurvey_responses

List recent responses to microsurveys

list_user_segments

List all configured user segments

track_user_event

Track a custom event for a specific user

Example Prompts for Chameleon.io in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Chameleon.io immediately.

"List all my active Chameleon experiences."

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

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

Troubleshooting Chameleon.io MCP Server with OpenAI Agents SDK

Common issues when connecting Chameleon.io to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Chameleon.io + OpenAI Agents SDK FAQ

Common questions about integrating Chameleon.io MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.