How to Use the Readwise MCP in Mastra AI

Build resilient Readwise workflows in Mastra AI with automatic retries and conditional logic for your knowledge base.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Readwise MCP to Mastra AI

Create your Vinkius account to connect Readwise to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Readwise with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automated knowledge synchronization

Deploy `export_highlights` within a Mastra AI workflow to pull your latest notes on a schedule. If the network hiccups, the framework handles the retry logic for you. It keeps your local data consistent without manual intervention. You define the workflow once, and the agent ensures the sync completes successfully.

Complex review branching

Use `get_daily_review` to trigger different agent branches based on your current study queue. If your queue is empty, the workflow can skip to a research task instead. This gives your agent decision-making power. It checks the status of your reviews and acts only when there is work to be done.

Conditional highlight updates

Implement logic that uses `update_highlight` only if specific conditions are met. You can set rules where the agent verifies the content before making changes to your library. It prevents accidental edits. Your agent acts as a guard, checking your criteria against the data before executing any write operations.

Setup guide

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

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

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

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Common questions about Readwise MCP in Mastra AI

You register the MCP server in your agent configuration. Mastra AI then maps the available tools to your agent, allowing you to sequence them into complex steps.

Yes. You can set requireToolApproval for any sensitive operation like `delete_highlight`. The agent pauses until you manually confirm the action in the console.

By using the incremental export features, you minimize the load. Mastra AI handles the backoff if you hit rate limits, ensuring the process finishes safely.

The framework logs every tool call. You can track the success or failure of your `list_highlights` or `create_highlight` requests directly in your deployment logs.

We isolate your environment so only your specific agent has access to your highlights and book metadata. No other process can intercept your private knowledge tokens.

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