ai-mlproductivity

Readwise

readwiseio

by readwiseio

Integrate Readwise to retrieve notes and search highlights, enhancing knowledge work—ideal for recovering deleted note o

Integrates with Readwise to search and retrieve highlights from a user's library, enabling researchers and knowledge workers to reference saved notes during conversations without switching contexts.

github stars

145

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Works with Claude DesktopOne-time setup with access token

best for

  • / Researchers referencing previous readings
  • / Knowledge workers building on saved insights
  • / Students accessing study notes during writing

capabilities

  • / Search highlights from Readwise library
  • / Retrieve saved notes and annotations
  • / Access reading highlights without context switching
  • / Query personal knowledge base during conversations

what it does

Connects Claude Desktop to your Readwise library, letting you search and retrieve your saved highlights and notes during conversations.

about

Readwise is an official MCP server published by readwiseio that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Readwise to retrieve notes and search highlights, enhancing knowledge work—ideal for recovering deleted note o It is categorized under ai ml, productivity.

how to install

You can install Readwise in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Readwise is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Readwise MCP

pre-commit

Overview

The Model Context Protocol (MCP) standardizes how applications provide context to Large Language Models (LLMs), ensuring a clean separation between context management and direct LLM interaction.

This project is a local MCP server designed to act as a bridge between LLM clients (such as Claude) and Readwise.

Watch a demo!

Installation in Claude

  1. Please make sure you have Node installed.
  2. Open Claude desktop app.
  3. Navigate to Settings > Developer.
  4. Click Edit Config.
  5. Add the following entry to the claude_desktop_config.json file, replacing ACCESS_TOKEN value with your Readwise Access Token.
{
  "mcpServers": {
    "Readwise MCP": {
      "command": "npx",
      "args": [
        "-y",
        "@readwise/readwise-mcp"
      ],
      "env": {
        "ACCESS_TOKEN": "XXXXXXXXX"
      }
    }
  }
}

Troubleshooting

For general troubleshooting guidance, please refer to the official Model Context Protocol Claude Desktop Troubleshooting section.

Below are specific solutions to common issues we've encountered and resolved.

"Could not attach to MCP server Readwise MCP"

A very likely reason for this to happen is that you have an incorrect npx/Node version set up. If you're using nvm, try running nvm use 18 in your terminal. If not, consider reinstalling Node.

Errors when calling Readwise tools

When using this MCP server, you may occasionally encounter MCP errors during your conversations with Claude. If you experience such errors, we recommend trying to switch between different Claude models (e.g., from Claude 3.5 Haiku to Claude 3.7 Sonnet) as this often resolves the issue.

FAQ

What is the Readwise MCP server?
Readwise is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Readwise?
This profile displays 43 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.743 reviews
  • Hana Bhatia· Dec 28, 2024

    Readwise is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Dhruvi Jain· Dec 20, 2024

    According to our notes, Readwise benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Sakura Nasser· Dec 20, 2024

    Readwise has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Maya Brown· Dec 16, 2024

    According to our notes, Readwise benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Evelyn Martin· Dec 16, 2024

    Readwise is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Oshnikdeep· Nov 11, 2024

    We wired Readwise into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ren Patel· Nov 11, 2024

    Readwise is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Diego Huang· Nov 7, 2024

    We wired Readwise into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Camila Jain· Oct 26, 2024

    Readwise is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Maya Taylor· Oct 10, 2024

    According to our notes, Readwise benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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