Privy MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Batch Create Wallets, Create User, Create Wallet, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Privy 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 Privy MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 12 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 Privy, 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 Privy MCP Server
Connect your Privy application to any AI agent to streamline user onboarding and wallet management in your Web3 application through natural language.
The Vercel AI SDK gives every Privy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- User Management — Create new users, search for existing ones by term or email, and retrieve full profile metadata.
- Embedded Wallets — Provision new wallets (Ethereum, Solana, Bitcoin, Sui) for your users individually or in batches of up to 100.
- Wallet Operations — Update wallet metadata, policies, and ownership, or retrieve specific wallet details via ID.
- Blockchain Actions — Execute RPC methods like signing messages or sending transactions directly through managed wallets.
- Data Maintenance — Securely delete user records when they are no longer needed.
The Privy MCP Server exposes 12 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 12 Privy tools available for Vercel AI SDK
When Vercel AI SDK connects to Privy through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3, embedded-wallets, user-onboarding, 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.
Batch create wallets on Privy
Batch create wallets
Create user on Privy
Create a new user object with linked accounts
Create wallet on Privy
Create a new wallet
Delete user on Privy
Delete a user
Get transaction on Privy
Get a transaction
Get transaction by external id on Privy
Get a transaction by external ID
Get user on Privy
Get a user by ID
Get user by email on Privy
Get a user by email address
Get wallet on Privy
Get wallet details
Search users on Privy
Search for users
Update wallet on Privy
Update a wallet
Wallet rpc on Privy
Perform a wallet RPC action
Connect Privy to Vercel AI SDK via MCP
Follow these steps to wire Privy 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 Privy MCP Server
Vercel AI SDK provides unique advantages when paired with Privy 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 Privy integration everywhere
Built-in streaming UI primitives let you display Privy 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
Privy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Privy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Privy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Privy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Privy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Privy through natural language queries
Example Prompts for Privy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Privy immediately.
"Search for users with the term 'beta-tester' in Privy."
"Create a new Ethereum wallet with the display name 'Main Treasury'."
"Get the user details for email 'alice@company.com'."
Troubleshooting Privy MCP Server with Vercel AI SDK
Common issues when connecting Privy to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPrivy + Vercel AI SDK FAQ
Common questions about integrating Privy 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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