Affinda MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Affinda through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Affinda, 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 Affinda MCP Server
Connect your Affinda account to your AI agent to unlock powerful intelligent document processing (IDP). From automatically extracting details from resumes and invoices to auditing document statuses across your workspaces, your agent handles structured data extraction through natural conversation.
The Vercel AI SDK gives every Affinda tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Automated Document Parsing — Upload PDFs or images of resumes, invoices, and passports for high-accuracy JSON extraction
- Workspace Oversight — List and audit documents within your specific workspaces to maintain organizational control
- Extraction Model Management — List available document types (Resume, Invoice, Receipt, etc.) supported by your account
- Real-time Status Tracking — Retrieve the parsing status and technical metadata for any uploaded document
- Metadata Insights — Quickly identify processing errors or missing data across your document library directly from chat
The Affinda MCP Server exposes 5 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 Affinda to Vercel AI SDK via MCP
Follow these steps to integrate the Affinda MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 5 tools from Affinda and passes them to the LLM
Why Use Vercel AI SDK with the Affinda MCP Server
Vercel AI SDK provides unique advantages when paired with Affinda 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 Affinda integration everywhere
Built-in streaming UI primitives let you display Affinda 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
Affinda + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Affinda MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Affinda in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Affinda tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Affinda capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Affinda through natural language queries
Affinda MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect Affinda to Vercel AI SDK via MCP:
create_document
Defaults to synchronous waiting for the output. Upload and parse a PDF or image into Affinda via its public URL for high-accuracy JSON extraction
get_document
Retrieve the fully structured JSON data and status for a specific processed document in Affinda
list_document_types
Retrieve exactly which parsing models the Affinda account supports (e.g. Resume, Invoice, Passport)
list_documents
Retrieve all parsed documents in an Affinda workspace with their processing status
list_workspaces
Retrieve all container workspaces for documents created within your Affinda account
Example Prompts for Affinda in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Affinda immediately.
"List all documents in my 'HR Recruitment' workspace."
"Parse this resume URL: https://example.com/cv.pdf using the 'resume' model."
"List the available document types in my account."
Troubleshooting Affinda MCP Server with Vercel AI SDK
Common issues when connecting Affinda to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAffinda + Vercel AI SDK FAQ
Common questions about integrating Affinda 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.Connect Affinda with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Affinda to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.