How to Use the Anthropic MCP in Mastra AI

Build complex agent workflows in Mastra AI with native Claude integration.

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Connect Anthropic MCP to Mastra AI

Create your Vinkius account to connect Anthropic 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 Anthropic with Mastra AI

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Claude

Perplexity

Automated Claude workflows in Mastra AI

Chain your agents to execute `create_message` as part of a larger, multi-step pipeline. If a prompt fails, your workflow triggers a retry automatically. It handles the logic flow so your agents don't get stuck. You define the failure conditions and the agent reacts based on the tool feedback.

Batch processing for Mastra AI agents

Use `create_batch` for high-volume tasks that don't need an instant reply. It cuts your token spend significantly compared to individual requests. Monitor the progress of these jobs with `list_batches` inside your workflow. Your agent can wait for a 'success' signal before moving to the next step.

Mastra AI agent resource management

Use `check_rate_limits` to throttle your agents before they hit a block. It ensures your critical workflows keep moving without unexpected pauses. If you need to switch models, call `list_models` to see what is available. Your agent adapts its strategy based on the specific model specifications returned.

Setup guide

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

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

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

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Why Choose Vinkius

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place for every integration

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Common questions about Anthropic MCP in Mastra AI

The MCP server acts as a bridge. You map the tools to your agents, and they call the API directly through the Vinkius tunnel.

Use the requireToolApproval setting in your agent config. It forces a human to click 'yes' before the tool executes.

Your prompts are never stored on our servers. We use ephemeral memory that wipes as soon as the agent task completes.

Yes, use the batch tools. It turns your synchronous agent logic into an asynchronous process.

It only touches your prompt text and the resulting model output. No PII or customer records are logged by the server.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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