Integrate Readwise with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCheck readwise status on Readwise
Verify connectivity
Create highlight on Readwise
Create a highlight
Delete highlight on Readwise
Delete a highlight
Export highlights on Readwise
Supports incremental export with updatedAfter filter. Export highlights
Get book on Readwise
Get book details
Get daily review on Readwise
Get daily review
Get highlight on Readwise
Get highlight details
List books on Readwise
List all books
List books by category on Readwise
List books by category
List books by source on Readwise
List books by source
List highlights on Readwise
Returns text, note, location, and tags. List highlights
List reviews on Readwise
List review queue
List tags on Readwise
List all tags
Search books on Readwise
Search books
Search highlights on Readwise
Search highlights
Update highlight on Readwise
Update a highlight
Security & Code Integrity Audit
Every tool in the Readwise MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
What can I do with the Readwise connector?
You can list, search, create, update, and delete highlights, browse books by source or category, manage tags, access your daily spaced repetition review, and export all data incrementally for analysis or backup.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
What can AI Agents do with Readwise?
The Readwise integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Streamlining reading
Build automated workflows involving reading by connecting Readwise. It provides Claude and ChatGPT with direct API hooks into your productivity ecosystem.
Optimizing spaced repetition with Claude
Integrate Readwise for AI-driven spaced repetition management. The MCP server structures the outputs required for Claude to analyze productivity data.
Readwise. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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