Chameleon.io MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Chameleon.io through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Chameleon.io, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every Chameleon.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Chameleon.io MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Chameleon.io and passes them to the LLM
Why Use Vercel AI SDK with the Chameleon.io MCP Server
Vercel AI SDK provides unique advantages when paired with Chameleon.io through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Chameleon.io integration everywhere
Built-in streaming UI primitives let you display Chameleon.io tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Chameleon.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Chameleon.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Chameleon.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Chameleon.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Chameleon.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Chameleon.io through natural language queries
Chameleon.io MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Chameleon.io to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Chameleon.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChameleon.io + Vercel AI SDK FAQ
Common questions about integrating Chameleon.io MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Chameleon.io with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Chameleon.io to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.