Readwise MCP Server for Pydantic AIGive Pydantic AI instant access to 16 tools to Check Readwise Status, Create Highlight, Delete Highlight, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Readwise through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Readwise app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Readwise "
"(16 tools)."
),
)
result = await agent.run(
"What tools are available in Readwise?"
)
print(result.data)
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.
Pydantic AI validates every Readwise tool response against typed schemas, catching data inconsistencies at build time. Connect 16 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Readwise into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Readwise MCP Server
Pydantic AI provides unique advantages when paired with Readwise through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Readwise integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Readwise connection logic from agent behavior for testable, maintainable code
Readwise + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Readwise MCP Server delivers measurable value.
Type-safe data pipelines: query Readwise with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Readwise tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Readwise and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Readwise responses and write comprehensive agent tests
Example Prompts for Readwise in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Readwise to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiReadwise + Pydantic AI FAQ
Common questions about integrating Readwise MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.