Intrinio 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 Intrinio 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 Intrinio, 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 Intrinio MCP Server
Empower your AI agents with Intrinio's comprehensive financial data. This MCP server allows you to retrieve real-time and historical stock prices, access financial statements, search for companies, and track earnings releases and IPO calendars directly through the Intrinio API. Ideal for financial analysis, portfolio monitoring, and market research.
The Vercel AI SDK gives every Intrinio 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.
The Intrinio 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 Intrinio to Vercel AI SDK via MCP
Follow these steps to integrate the Intrinio 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 Intrinio and passes them to the LLM
Why Use Vercel AI SDK with the Intrinio MCP Server
Vercel AI SDK provides unique advantages when paired with Intrinio 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 Intrinio integration everywhere
Built-in streaming UI primitives let you display Intrinio 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
Intrinio + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Intrinio MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Intrinio in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Intrinio tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Intrinio capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Intrinio through natural language queries
Intrinio MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Intrinio to Vercel AI SDK via MCP:
get_company
g., "AAPL") or ID. Returns headquarters address, employee counts, and business descriptions. Useful for providing a profile overview of a company. Retrieves details for a specific company
get_earnings_releases
Essential for tracking reporting seasons and anticipating market volatility for specific tickers. Lists upcoming and past earnings releases
get_financials
Returns line items and values. Essential for fundamental financial analysis and performance vetting. Retrieves financial statements for a company
get_ipo_calendar
Useful for identifying new market entrants and investment opportunities. Retrieves the IPO calendar
get_security
Returns exchange info, security type, and identifiers. Use this to distinguish between different types of instruments traded under similar names. Retrieves details for a specific security
get_stock_prices
Use this to analyze market performance and price trends over time. Retrieves historical stock prices for a security
list_companies
Returns company names, tickers, and internal IDs. Use this to discover tickers before querying specific stock prices or financial statements. Lists all companies covered by Intrinio
list_indices
g., S&P 500, Dow Jones) tracked by Intrinio. Use this to identify index identifiers before querying index performance data. Lists stock market indices
list_news
Useful for monitoring market-moving events and recent announcements from public companies. Lists latest financial news
search_companies
Use this when the user provided a partial company name and you need to locate the correct ticker or ID. Searches for companies by name or ticker
Example Prompts for Intrinio in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Intrinio immediately.
"List financial statements for Apple (AAPL)."
"Get the latest stock price for Microsoft."
"Search for companies in the 'Software' industry."
Troubleshooting Intrinio MCP Server with Vercel AI SDK
Common issues when connecting Intrinio to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIntrinio + Vercel AI SDK FAQ
Common questions about integrating Intrinio 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 Intrinio 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 Intrinio to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.