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SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison through the 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 SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison
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About SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server

SEC XBRL financial data.

The Vercel AI SDK gives every SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

4 Tools

  • Key Financials — Revenue, income, assets, EPS, cash
  • Financial Metric — Any US-GAAP concept
  • All Facts — Complete XBRL data dump
  • Industry Comparison — Cross-company metric frames

Zero Auth

Like a free Bloomberg terminal

The SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server exposes 4 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 SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to Vercel AI SDK via MCP

Follow these steps to integrate the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison 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 4 tools from SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison and passes them to the LLM

Why Use Vercel AI SDK with the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server

Vercel AI SDK provides unique advantages when paired with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison 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 SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison integration everywhere

03

Built-in streaming UI primitives let you display SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison 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

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison through natural language queries

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Tools for Vercel AI SDK (4)

These 4 tools become available when you connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to Vercel AI SDK via MCP:

01

get_all_company_facts

This is the raw, comprehensive dataset — hundreds of concepts across multiple years. Use get_key_financials for a curated summary, or this for deep analysis. Get ALL XBRL financial facts for a company — complete financial data dump

02

get_financial_metric

Common concepts: Revenues, NetIncomeLoss, Assets, Liabilities, StockholdersEquity, EarningsPerShareBasic, LongTermDebt, ResearchAndDevelopmentExpense, CashAndCashEquivalentsAtCarryingValue, CommonStockSharesOutstanding. If the concept is not found, returns available concepts. Get a specific US-GAAP financial concept for a company (e.g., Revenue, Debt, R&D)

03

get_industry_comparison

Useful for industry comparison and screening. Example: get all companies' Revenue for CY2024. Period format: CY2024 (annual), CY2024Q1 (quarterly), CY2024Q1I (instant). Compare a financial metric across ALL companies — industry-wide XBRL frame data

04

get_key_financials

Returns the most recent 5 reported values across 10-K and 10-Q filings. This is like a mini Bloomberg terminal — for free. Get key financial data for a company — revenue, net income, assets, equity, EPS, cash

Example Prompts for SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison immediately.

01

"Get Apple's key financial data — revenue, income, assets, and EPS"

02

"What is Meta's exact Research and Development Expense?"

03

"Show me a comparison of Revenue across all companies for CY2024"

Troubleshooting SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server with Vercel AI SDK

Common issues when connecting SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + Vercel AI SDK FAQ

Common questions about integrating SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison 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 SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to Vercel AI SDK

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.