How to Use the LunarCrush (Social Intelligence for Crypto Assets) MCP in Vercel AI SDK

Q: Can I use LunarCrush (Social Intelligence for Crypto Assets) to build a live trading dashboard in AI-SDK?

Absolutely. You can map getmarketmetrics to your charts to ensure your users see up-to-the-minute data alongside social sentiment scores.

Stream real-time crypto sentiment directly into your AI-SDK powered interfaces using the LunarCrush MCP Server.

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Connect LunarCrush (Social Intelligence for Crypto Assets) MCP to Vercel AI SDK

Create your Vinkius account to connect LunarCrush (Social Intelligence for Crypto Assets) 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.

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Setup LunarCrush (Social Intelligence for Crypto Assets) with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Live social data in your UI

Feed `get_galaxy_score` and `get_social_metrics` directly into your frontend components. Your AI-SDK agents push live data streams to the user, bypassing static loading states. Watch sentiment shifts happen as they hit the API. You get the raw numbers piped straight into your React or Next.js components.

Filter assets with code

Use `list_assets` to define the specific coins your interface tracks. You control the scope, sorting, and display logic entirely through your application code. Stop guessing which assets matter. Your agent pulls the exact list you need, ensuring your dashboard stays relevant.

Validate trends with metrics

Cross-reference `get_altrank` and `get_market_metrics` within your tool calls. You build a feedback loop where the UI updates based on actual social velocity. Data is only as good as the context. Your AI client reconciles market movement with social engagement to prevent false signals.

Setup guide

Set up LunarCrush (Social Intelligence for Crypto Assets) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 LunarCrush (Social Intelligence for Crypto Assets) tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 LunarCrush (Social Intelligence for Crypto Assets) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LunarCrush. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LunarCrush (Social Intelligence for Crypto Assets) MCP in Vercel AI SDK

Install the MCP client and initialize the connection using your Vinkius endpoint. Pass the tools retrieved from the server into your generateText calls to enable real-time data access.

Yes. The server handles tool execution, and because you are using AI-SDK, the results stream back to your UI components immediately upon completion.

Absolutely. You can map `get_market_metrics` to your charts to ensure your users see up-to-the-minute data alongside social sentiment scores.

Vinkius manages the handshake. You provide a single endpoint token, and the server handles the underlying authentication for all LunarCrush requests.

The server only processes public market and social metrics. Your specific asset queries and API tokens remain isolated within the V8 sandbox environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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