How to Use the CoinMarketCal MCP in Mastra AI

Q: Can I use Mastra AI to track CoinMarketCal trends?

You can create an agent that calls listtrendingevents on a schedule. It gathers the data and updates your internal logs.

Q: Can I filter events by category?

Call listcategories first to define your criteria. You then pass those filters to your event-fetching agent.

Build automated crypto workflows in Mastra AI. Trigger actions based on CoinMarketCal events with built-in retry logic.

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Connect CoinMarketCal MCP to Mastra AI

Create your Vinkius account to connect CoinMarketCal 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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Setup CoinMarketCal with Mastra AI

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Perplexity

Automated event monitoring

Set up agents to call `list_trending_events` at specific intervals. Mastra AI manages the state, so you never miss a market shift. If the connection blips, the workflow engine retries the request automatically. You define the logic once and let the server handle the execution.

Complex multi-step actions

Chain `get_coin_id` with `get_event_details` to verify data before your agent takes action. You can build paths that branch based on the event type. This keeps your operations predictable. If one step fails, the workflow pauses until you decide how to resolve the issue.

Human-in-the-loop validation

Enable `requireToolApproval` to pause your agent before it processes critical `list_popular_events` data. You review the findings before the agent proceeds. It adds a layer of safety to your automated tasks. You stay in control while the agent does the research.

Setup guide

Set up CoinMarketCal 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All CoinMarketCal tools become native Mastra tools.
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: "coinmarketcal-mcp-client",
  servers: {
    "coinmarketcal-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent CoinMarketCal transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CoinMarketCal. 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 CoinMarketCal MCP in Mastra AI

You initialize the client in your agent definition and spread the tools into your agent's capability list. Mastra AI then maps these tools to your workflow steps.

You can create an agent that calls `list_trending_events` on a schedule. It gathers the data and updates your internal logs.

All traffic is proxied through the Vinkius secure tunnel. Your agent only sees the event details you explicitly request, keeping your internal logic isolated.

Yes, the framework handles retries for any tool call that times out. You don't need to write custom logic for intermittent connection drops.

Call `list_categories` first to define your criteria. You then pass those filters to your event-fetching agent.

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