Unleash (Feature Toggles) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Get Client Features, Get Frontend Features, List Environments, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Unleash (Feature Toggles) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Unleash (Feature Toggles) MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Unleash (Feature Toggles), 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 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.
The Vercel AI SDK gives every Unleash (Feature Toggles) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- 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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 client features on Unleash (Feature Toggles)
Fetch all feature flags and strategies for server-side evaluation
Get frontend features on Unleash (Feature Toggles)
Optionally provide context like userId or properties. Fetch enabled feature flags for a specific Unleash Context
List environments on Unleash (Feature Toggles)
Fetches all environments configured in Unleash. List all Unleash environments
List project features on Unleash (Feature Toggles)
Fetches features for a given project ID. List all feature flags in a specific project
List projects on Unleash (Feature Toggles)
Fetches all projects configured in Unleash. List all Unleash projects
List segments on Unleash (Feature Toggles)
Fetches all segments configured in Unleash. List all Unleash segments
List users on Unleash (Feature Toggles)
Fetches all users configured in Unleash. List all Unleash users
Register client on Unleash (Feature Toggles)
Register a new backend SDK instance
Register frontend on Unleash (Feature Toggles)
Register a new frontend SDK instance
Report client metrics on Unleash (Feature Toggles)
Report flag usage metrics from a backend SDK
Report frontend metrics on Unleash (Feature Toggles)
Report flag usage metrics from a frontend SDK
Connect Unleash (Feature Toggles) to Vercel AI SDK via MCP
Follow these steps to wire Unleash (Feature Toggles) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Unleash (Feature Toggles) MCP Server
Vercel AI SDK provides unique advantages when paired with Unleash (Feature Toggles) 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 Unleash (Feature Toggles) integration everywhere
Built-in streaming UI primitives let you display Unleash (Feature Toggles) 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
Unleash (Feature Toggles) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Unleash (Feature Toggles) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Unleash (Feature Toggles) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Unleash (Feature Toggles) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Unleash (Feature Toggles) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Unleash (Feature Toggles) through natural language queries
Example Prompts for Unleash (Feature Toggles) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Unleash (Feature Toggles) immediately.
"List all Unleash projects and their descriptions."
"What feature flags are enabled for user 'user_88' in the frontend?"
"Show me all feature flags in the 'Mobile-App' project."
Troubleshooting Unleash (Feature Toggles) MCP Server with Vercel AI SDK
Common issues when connecting Unleash (Feature Toggles) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUnleash (Feature Toggles) + Vercel AI SDK FAQ
Common questions about integrating Unleash (Feature Toggles) 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.Explore More MCP Servers
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