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

Build resilient crypto workflows in Mastra AI using the LunarCrush MCP Server for automated social intelligence.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

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

Create your Vinkius account to connect LunarCrush (Social Intelligence for Crypto Assets) to Mastra AI 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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Automated sentiment workflows

Trigger `get_galaxy_score` checks within your Mastra AI agent chains. If the score hits a threshold, the workflow triggers your next logic block automatically. Stop manual tracking. Your agents handle the heavy lifting of monitoring social sentiment and reacting to shifts without human oversight.

Resilient data retrieval

Mastra AI handles tool retries and error states for every `get_market_metrics` call. If a request fails, the workflow catches it and tries again. Build agents that don't quit. Your crypto monitoring system stays online even when the API experiences transient issues.

Conditional agent logic

Branch your agent behavior using `get_altrank` results. You define paths for different sentiment levels, making your agents act on specific market conditions. Logic flows follow the data. Your agents adapt their strategy based on the real-time social standing of the assets they monitor.

Setup guide

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

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All LunarCrush (Social Intelligence for Crypto Assets) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "lunarcrush-social-intelligence-for-crypto-assets-mcp-client",
  servers: {
    "lunarcrush-social-intelligence-for-crypto-assets-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "LunarCrush (Social Intelligence for Crypto Assets) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to LunarCrush (Social Intelligence for Crypto Assets) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent LunarCrush (Social Intelligence for Crypto Assets) transactions"
);
console.log(result.text);

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.

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

Import the MCP client into your Mastra agent configuration. Connect to the Vinkius endpoint, and the server exposes all tools directly to your agent's workflow engine.
Yes. You configure the retry policy in your agent definition, allowing the system to handle intermittent connectivity issues with the LunarCrush API automatically.
It is. You can use the output of any tool as a condition for your agent's workflow, enabling complex decision trees based on social intelligence.
Vinkius hosts the server in a secure, ephemeral sandbox. Your Mastra agents connect to this remote endpoint, keeping your local environment clean.
The MCP server operates in a zero-trust architecture. Your queries for specific assets are encrypted in transit and never stored beyond the ephemeral execution session.

Start using the LunarCrush (Social Intelligence for Crypto Assets) MCP today

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