How to Use the College Scorecard API MCP in Vercel AI SDK
Stream real-time US university data directly into your Vercel AI SDK interface without the usual loading delays.
Works with every AI agent you already use
…and any MCP-compatible client
Connect College Scorecard API MCP to Vercel AI SDK
Create your Vinkius account to connect College Scorecard API to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Live College Data in Vercel AI SDK
Feed `get_college_details` and `get_fields_of_study` directly into your React components. Your users watch the AI pull specific program stats as the text streams, bypassing the need for clunky state management. This MCP Server handles the request-response cycle on the edge. You get the raw JSON back from the provider immediately, ready for immediate rendering in your Next.js frontend.
Geographic Filtering for AI SDK
Use `list_colleges_by_city` or `list_colleges_by_zip` to scope your search results. Your AI client narrows down the massive dataset to specific regions, keeping the context window clean. Everything happens via standard HTTP transport. You define the boundary, the API returns the list, and your UI updates the map or list view instantly.
Direct Search via MCP Server
Trigger `search_colleges` when a user types a query into your chat bar. This tool returns exact matches from the federal registry, giving your AI agent the grounded facts it needs to answer questions. Integrating this into your streamText call is straightforward. Once the data hits your client, the agent presents the findings to the user without hallucinating credentials or tuition costs.
Set up College Scorecard API MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all College Scorecard API tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent College Scorecard API transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by College Scorecard. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about College Scorecard API MCP in Vercel AI SDK
Use it with your favorite AI tools
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Start using the College Scorecard API MCP today
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