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Autenti MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add New Contact, Check Api Health, Create New Signature Process, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Autenti app connector for Vercel AI SDK is a standout in the Document Management 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

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

main();
Autenti
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 Autenti MCP Server

Connect your Autenti account to any AI agent and take full control of your professional document signing workflows and e-signature compliance through natural conversation.

The Vercel AI SDK gives every Autenti 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

  • Process Orchestration — List and manage document signature processes programmatically, retrieving detailed status, high-fidelity metadata, and historical audit data in real-time
  • Dynamic Lifecycle Management — Discover and execute available actions (Send, Sign, Reject) based on the document's current state to coordinate complex signature workflows
  • Participant Intelligence — Programmatically add signers and observers to your processes and manage your organizational contact directory to ensure perfectly coordinated collaboration
  • Event Monitoring — Access and monitor your complete directory of webhooks to receive real-time notifications for incoming document events directly through your agent
  • Operational Visibility — Access high-fidelity profile metadata for your authenticated user and verify API connectivity directly through your agent for instant reporting

The Autenti MCP Server exposes 12 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.

All 12 Autenti tools available for Vercel AI SDK

When Vercel AI SDK connects to Autenti through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-signature, identity-verification, compliance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_new_contact

Add a contact to your address book

check_api_health

Verify Autenti API connectivity

create_new_signature_process

Requires a title and metadata. Start a new document process

execute_process_action

Use list_available_process_actions first to find valid names. Execute a discovered action (e.g., Send, Sign, Reject)

get_process_details

Get details for a specific signature process

get_user_account_profile

Get authenticated user profile

list_available_process_actions

Discover possible actions for a process

list_configured_webhooks

List active webhooks

list_process_files

List files within a process

list_process_participants

List signers and observers

list_saved_contacts

List your address book contacts

list_signature_processes

List all document signature processes

Connect Autenti to Vercel AI SDK via MCP

Follow these steps to wire Autenti into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Autenti and passes them to the LLM

Why Use Vercel AI SDK with the Autenti MCP Server

Vercel AI SDK provides unique advantages when paired with Autenti 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 Autenti integration everywhere

03

Built-in streaming UI primitives let you display Autenti 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

Autenti + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Autenti in Vercel AI SDK

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

01

"List all my active document signature processes."

02

"What actions can I take on process 'proc_123'?"

03

"Add 'John Doe' (john@example.com) to my Autenti contacts."

Troubleshooting Autenti MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Autenti + Vercel AI SDK FAQ

Common questions about integrating Autenti 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.