Readwise MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 16 tools to Check Readwise Status, Create Highlight, Delete Highlight, and more
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 App Connector for OpenAI Agents SDK
The Readwise app connector for OpenAI Agents SDK 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
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 16 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
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.
The OpenAI Agents SDK auto-discovers all 16 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
- 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 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.
All 16 Readwise tools available for OpenAI Agents SDK
When OpenAI Agents SDK 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.
Verify connectivity
Create a highlight
Delete a highlight
Supports incremental export with updatedAfter filter. Export highlights
Get book details
Get daily review
Get highlight details
List all books
List books by category
List books by source
Returns text, note, location, and tags. List highlights
List review queue
List all tags
Search books
Search highlights
Update a highlight
Connect Readwise to OpenAI Agents SDK via MCP
Follow these steps to wire Readwise into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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
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.
"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 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.