Extracta MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Extracta 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 Extracta, 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 Extracta MCP Server
Connect your Extracta.ai account to any AI agent and take full control of your automated data extraction and document classification through natural conversation.
The Vercel AI SDK gives every Extracta tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Extraction Orchestration — Create and configure new data extraction processes by defining JSON schemas for fields like dates, amounts, and item descriptions natively
- Live Document Processing — Submit publicly accessible file URLs (PDF, JPG, PNG) to trigger asynchronous extraction workflows and retrieve structured JSON data seamlessly
- AI Classification — Set up document classification rules to automatically sort documents into types like invoices, receipts, or contracts based on AI predictions
- Result Auditing — Retrieve extraction status and finalized structured data for specific documents, evaluating confidence scores and predicted categories flawlessly
- Batch History Monitoring — Fetch paginated lists of previously extracted documents and their associated data payloads to track historical processing limitlessly
- Configuration Mutation — Update existing extraction settings and mapping rules without creating new endpoints to refine your data parsing logic
- Workflow Management — View and manage extraction and classification configurations, including configured fields and webhook settings securely
The Extracta MCP Server exposes 10 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 Extracta to Vercel AI SDK via MCP
Follow these steps to integrate the Extracta 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 10 tools from Extracta and passes them to the LLM
Why Use Vercel AI SDK with the Extracta MCP Server
Vercel AI SDK provides unique advantages when paired with Extracta 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 Extracta integration everywhere
Built-in streaming UI primitives let you display Extracta 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
Extracta + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Extracta MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Extracta in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Extracta tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Extracta capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Extracta through natural language queries
Extracta MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Extracta to Vercel AI SDK via MCP:
create_classification
g. invoice, receipt, contract). Pass JSON schema defining categories. Create a new Extracta document classification setup
create_extraction
g. language, format, expected fields like invoice_date, total_amount). Returns a new extractionId used for subsequent document processing. Create a new Extracta.ai data extraction process
delete_extraction
Subsequent uploads to this extractionId will fail. Delete an Extracta.ai extraction process
get_batch_results
Get bulk historical results from an Extraction process
get_classification_results
Get the predicted document category from Extracta
get_results
If not completed, it will indicate processing status. Get extraction results for a specific document
update_extraction
Modifies mapping rules without needing to create a new endpoint. Update an existing Extracta extraction configuration
upload_file_url
Returns a documentId. Use ea.get_results to poll for extracted data. Upload a document URL to Extracta for processing
view_classification
View details of an existing document classification process
view_extraction
View configuration of an existing Extracta extraction process
Example Prompts for Extracta in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Extracta immediately.
"Create an extraction process for invoices with fields: date, vendor, total"
"Extract data from this receipt URL: https://example.com/receipt.pdf"
"What type of document is doc_789 according to my classification rules?"
Troubleshooting Extracta MCP Server with Vercel AI SDK
Common issues when connecting Extracta to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpExtracta + Vercel AI SDK FAQ
Common questions about integrating Extracta 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 Extracta 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 Extracta to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.