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 daily review feature work?

The daily review tool retrieves highlights selected by Readwise's spaced repetition algorithm, helping your AI agent surface the most important passages at the optimal retention interval.

Can I filter books by where they came from?

Yes, you can filter by source (Kindle, Instapaper, Pocket, web, Apple Books) or by category (books, articles, tweets, podcasts) to quickly find the content you need.

INSTANT PLUG AND PLAY

Readwise MCP Server for CrewAIGive CrewAI instant access to 16 tools to Check Readwise Status, Create Highlight, Delete Highlight, and more

Name: Readwise
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 16 Tools Framework

Connect your CrewAI agents to Readwise through Vinkius, pass the Edge URL in the `mcps` parameter and every Readwise tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Readwise app connector for CrewAI is a standout in the Productivity category — giving your AI agent 16 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Readwise Specialist",
    goal="Help users interact with Readwise effectively",
    backstory=(
        "You are an expert at leveraging Readwise tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Readwise "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 16 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Readwise MCP Server

Transform how your organization interacts with reading material by giving your AI agent full control over your Readwise library. With 16 tools covering full highlight CRUD, book search by source and category, tag management, and daily review access, your agents can retrieve specific passages, create annotations, and help you retain knowledge.

When paired with CrewAI, Readwise becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Readwise tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Browse books by source or category
Full CRUD for highlights, notes, and tags
Access daily spaced repetition reviews
Export all data incrementally for backup or analysis

Who is it for?

Ideal for researchers, students, and professionals needing instant, conversational access to their curated knowledge base.

The Readwise MCP Server exposes 16 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Readwise tools available for CrewAI

When CrewAI connects to Readwise through Vinkius, your AI agent gets direct access to every tool listed below — spanning reading, spaced-repetition, highlights, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_readwise_status

Verify connectivity

create_highlight

Create a highlight

delete_highlight

Delete a highlight

export_highlights

Supports incremental export with updatedAfter filter. Export highlights

get_book

Get book details

get_daily_review

Get daily review

get_highlight

Get highlight details

list_books

List all books

list_books_by_category

List books by category

list_books_by_source

List books by source

list_highlights

Returns text, note, location, and tags. List highlights

list_reviews

List review queue

list_tags

List all tags

search_books

Search books

search_highlights

Search highlights

update_highlight

Update a highlight

Connect Readwise to CrewAI via MCP

Follow these steps to wire Readwise into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 16 tools from Readwise

Why Use CrewAI with the Readwise MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Readwise through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Readwise + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Readwise MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Readwise for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Readwise, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Readwise tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Readwise against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Readwise in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Readwise immediately.

"Find all my highlights related to 'stoicism' and summarize the key themes."

"List all the books I've saved from my Kindle library."

"Create a new highlight for 'The Almanack of Naval Ravikant' with the note: 'Crucial insight on leverage'."

Troubleshooting Readwise MCP Server with CrewAI

Common issues when connecting Readwise to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Readwise + CrewAI FAQ

Common questions about integrating Readwise MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.