Readwise MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Readwise through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Readwise Assistant",
instructions=(
"You help users interact with Readwise. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Readwise"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Readwise MCP Server
Connect your Readwise account directly to your AI agent. Enabling this integration turns your AI into an expert research assistant, capable of instantly scanning your entire timeline of book highlights, article snippets, tweet saves, and personal tags directly from your unified Readwise and Readwise Reader library.
The OpenAI Agents SDK auto-discovers all 6 tools from Readwise through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Readwise, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Highlight Retrieval — Perform searches or bulk retrievals of every snippet, quote, or highlight you've ever saved from your Kindle, Apple Books, and web browsers.
- Library Browsing — Ask your AI to list all the books, articles, and sources currently populated in your Readwise database.
- Readwise Reader Documents — Full access to list and extract content directly from articles and feeds saved into your Readwise Reader app.
- Tag Management Analysis — Retrieve the categorizations and tags you use to organize your knowledge base system.
The Readwise MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Readwise to OpenAI Agents SDK via MCP
Follow these steps to integrate the Readwise MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Readwise
Why Use OpenAI Agents SDK with the Readwise MCP Server
OpenAI Agents SDK provides unique advantages when paired with Readwise through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Readwise + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Readwise MCP Server delivers measurable value.
Automated workflows: build agents that query Readwise, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Readwise, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Readwise tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Readwise to resolve tickets, look up records, and update statuses without human intervention
Readwise MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Readwise to OpenAI Agents SDK via MCP:
check_auth_status
Verifies the validity of the Readwise access token
get_reader_document
Retrieves details for a specific Reader document
list_books
Lists all books and sources in Readwise
list_highlights
Lists all highlights from the user's Readwise account
list_reader_documents
Lists documents in the Readwise Reader
list_tags
Lists all tags used in Readwise
Example Prompts for Readwise in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Readwise immediately.
"List the most recent 5 books I highlighted on Readwise."
"Show me the text of the recent document I saved to Reader with the ID 1234."
"Search my highlights for any mentions of 'productivity'."
Troubleshooting Readwise MCP Server with OpenAI Agents SDK
Common issues when connecting Readwise to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Readwise + OpenAI Agents SDK FAQ
Common questions about integrating Readwise MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Readwise with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Readwise to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
