Ugosign MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Signature Request, Get Document, Get Organization, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Ugosign 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 App Connector for Vercel AI SDK
The Ugosign app connector for Vercel AI SDK is a standout in the Document Management category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Ugosign, 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 Ugosign MCP Server
Connect your Ugosign account to any AI agent to streamline your electronic signature and document approval workflows. Ugosign provides a powerful REST API for programmatically managing signature requests, tracking document statuses, and maintaining a secure audit trail of all signed agreements.
The Vercel AI SDK gives every Ugosign tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Signature Request Orchestration — List and create new electronic signature requests for one or more recipients with detailed tracking
- Document Lifecycle Tracking — Monitor the real-time status of your documents and signature requests from draft to fully executed
- Audit Trail Monitoring — Access detailed metadata for all signature requests to maintain a secure and compliant record of your agreements
- Organization Intelligence — Retrieve detailed information about your Ugosign organization to maintain an overview of your team's signing capacity
- Frictionless Approvals — Get a comprehensive overview of active signature requests and pending actions using natural language commands
The Ugosign MCP Server exposes 6 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 6 Ugosign tools available for Vercel AI SDK
When Vercel AI SDK connects to Ugosign through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-signatures, document-approval, audit-trail, 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.
Pass data as a JSON string. Create a new signature request
Get document details
Get organization details
Get signature request details
List all documents
List all signature requests
Connect Ugosign to Vercel AI SDK via MCP
Follow these steps to wire Ugosign into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 Ugosign MCP Server
Vercel AI SDK provides unique advantages when paired with Ugosign 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 Ugosign integration everywhere
Built-in streaming UI primitives let you display Ugosign 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
Ugosign + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Ugosign MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Ugosign in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Ugosign tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Ugosign capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Ugosign through natural language queries
Example Prompts for Ugosign in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Ugosign immediately.
"List all active signature requests in Ugosign."
"What is the status of signature request 'req_123'?"
"Show me the details for my Ugosign organization."
Troubleshooting Ugosign MCP Server with Vercel AI SDK
Common issues when connecting Ugosign to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUgosign + Vercel AI SDK FAQ
Common questions about integrating Ugosign 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.