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MintMCP MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MintMCP through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 MintMCP, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
MintMCP
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 MintMCP MCP Server

What you can do

Bring Enterprise Governance seamlessly to your AI Agents with the official MintMCP server connection array:

The Vercel AI SDK gives every MintMCP 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.

  • Establish Guardrails dynamically testing contexts strictly against SOC2 and PI redaction standards natively
  • Discover Virtual Servers polling explicitly deployed topologies organizing internal plugins
  • Audit Executions securely dumping complete logic access events into security metrics natively
  • Deploy Centralized Proxies routing agent workflows securely to down-stream architectures
  • Query RBAC tool policies mapping rigid logic controls determining explicitly who executes a specific function
  • Revoke Tokens Instantly isolating logic compromised connections safely from the main host

The MintMCP 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 MintMCP to Vercel AI SDK via MCP

Follow these steps to integrate the MintMCP MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 8 tools from MintMCP and passes them to the LLM

Why Use Vercel AI SDK with the MintMCP MCP Server

Vercel AI SDK provides unique advantages when paired with MintMCP through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MintMCP integration everywhere

03

Built-in streaming UI primitives let you display MintMCP tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

MintMCP + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the MintMCP MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query MintMCP in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate MintMCP tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed MintMCP capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with MintMCP through natural language queries

MintMCP MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect MintMCP to Vercel AI SDK via MCP:

01

mintmcp_eval_guardrail

Pass structural parameter string checking via unified security AI PI-redaction guardrail engines

02

mintmcp_fetch_audit_logs

Dump systematic telemetries logging SOC2 matrix accesses tracking execution

03

mintmcp_get_tool_policy

Fetch the definitive SOC2 governance and RBAC parameters restricting one logic integration

04

mintmcp_get_virtual_server

Extract exact configuration patterns of one unique Virtual Server schema

05

mintmcp_list_available_tools

Audit underlying tools currently approved locally inside a Virtual Server

06

mintmcp_list_virtual_servers

List all Virtual Server proxy abstractions grouping tools functionally

07

mintmcp_revoke_access_token

Sunder seamlessly a runtime session abstraction resolving an active OAuth flow

08

mintmcp_run_tool_action

Proxy explicitly an execution logic stream safely hitting the native integrations running behind the gateway

Example Prompts for MintMCP in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MintMCP immediately.

01

"Fetch the exact list of available virtual servers configured on my organization proxy natively."

02

"Verify the PI redaction guardrails against the textual payload 'Transfer funds using account ABC'."

03

"Poll the last 10 security audit execution logs from our native environment bounds."

Troubleshooting MintMCP MCP Server with Vercel AI SDK

Common issues when connecting MintMCP to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MintMCP + Vercel AI SDK FAQ

Common questions about integrating MintMCP MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect MintMCP to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.