How to Use the MagicDrip MCP in Mastra AI

Build resilient outreach workflows with Mastra AI. MagicDrip tools handle the heavy lifting while your agent manages the logic.

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Connect MagicDrip MCP to Mastra AI

Create your Vinkius account to connect MagicDrip 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 MagicDrip with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Conditional outreach branching in Mastra AI

Build agent workflows that react to campaign results by checking `get_campaign_performance`. If a campaign stalls, the agent can trigger a follow-up or pause the sequence automatically. This logic handles the edge cases that break simple scripts. You define the rules, and the agent executes them using the tool set.

Fail-safe LinkedIn operations for Mastra AI

Wrap your outreach in Mastra workflows that include automatic retries. When `send_linkedin_invite` fails due to temporary rate limits, the agent waits and tries again without human intervention. It ensures your outreach sequence completes even if the target platform is acting up. You spend less time babysitting failed jobs.

Multi-step lead processing using Mastra AI

Chain multiple operations together to handle new prospects. The agent uses `list_outreach_leads` to find targets, then decides whether to execute `send_direct_linkedin_message` based on lead details. This creates a pipeline that mimics a human recruiter. It processes leads in batches, keeping your messaging consistent and timely.

Setup guide

Set up MagicDrip 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 MagicDrip 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: "magicdrip-mcp-client",
  servers: {
    "magicdrip-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about MagicDrip MCP in Mastra AI

You initialize the client with your endpoint and spread the tools into your agent definition. Mastra handles the tool-calling logic automatically.

Yes. You can configure the workflow engine to catch errors and retry specific tool calls like `send_linkedin_invite` with custom backoff intervals.

Use environment variables for your endpoint token. The agent injects these into the connection request during the handshake.

The server provides prospect details including profile status and campaign history. This allows your agents to make informed decisions about who to contact next.

No. The server only returns the data requested by your agent. No persistent storage of your lead data occurs within the Mastra runtime.

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