How to Use the Lit Protocol (Decentralized Access Control) MCP in Vercel AI SDK

Q: How do I secure Lit Protocol (Decentralized Access Control) in my AI SDK project?

You secure it by keeping your API keys scoped. Use addusageapikey to restrict what your AI client can actually do, ensuring that even if your frontend is compromised, the damage is limited.

Use Lit Protocol (Decentralized Access Control) with the AI SDK to stream decentralized authorization results directly into your UI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lit Protocol (Decentralized Access Control) MCP to Vercel AI SDK

Create your Vinkius account to connect Lit Protocol (Decentralized Access Control) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Lit Protocol (Decentralized Access Control) with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream decentralized key management

Generate Programmable Key Pairs right from your frontend code. Use `create_wallet` to provision new keys for your users without holding any private data on your server. Your UI updates as the key creation progresses. You avoid the typical latency issues by piping the results through your standard streaming architecture.

Execute Lit Actions on the edge

Trigger immutable code execution within TEEs using `execute_lit_action`. Your AI SDK agent handles the logic while the network ensures the computation remains verifiable. Everything stays isolated. You define the action, pass the parameters, and watch the output render as the underlying blockchain confirms the state change.

Manage access policies in real-time

Organize your keys into logical groups using `add_group` and `add_pkp_to_group`. This keeps your permission sets clean as your application grows in complexity. Updates are immediate. You call the tool, the SDK receives the confirmation, and your app state reflects the new access rules without a page refresh.

Setup guide

Set up Lit Protocol (Decentralized Access Control) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Lit Protocol (Decentralized Access Control) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Lit Protocol (Decentralized Access Control) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lit Protocol. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Lit Protocol (Decentralized Access Control) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lit Protocol (Decentralized Access Control) MCP in Vercel AI SDK

You secure it by keeping your API keys scoped. Use `add_usage_api_key` to restrict what your AI client can actually do, ensuring that even if your frontend is compromised, the damage is limited.

Absolutely. Since the MCP server provides standard tool definitions, you just pass the output of `execute_lit_action` into your streamText function. It handles the data flow just like any other tool output.

No. The MCP server handles the heavy lifting of communication with the network. You connect the client directly to the Vinkius endpoint and call the tools from your existing TypeScript code.

The MCP server returns a standard error object. You catch it in your agent loop and decide whether to retry or notify the user, keeping your error handling logic centralized.

Your private keys and sensitive access control policies never touch our servers. We only facilitate the encrypted transit between your agent and the Lit network nodes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript