Readwise MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Readwise through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Readwise, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Readwise tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Readwise MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from Readwise and passes them to the LLM
Why Use Vercel AI SDK with the Readwise MCP Server
Vercel AI SDK provides unique advantages when paired with Readwise through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Readwise integration everywhere
Built-in streaming UI primitives let you display Readwise tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Readwise + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Readwise MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Readwise in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Readwise tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Readwise capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Readwise through natural language queries
Readwise MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Readwise to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Readwise to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpReadwise + Vercel AI SDK FAQ
Common questions about integrating Readwise MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.