Readwise MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 16 tools to Check Readwise Status, Create Highlight, Delete Highlight, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Readwise through 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 App Connector for Vercel AI SDK
The Readwise app connector for Vercel AI 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 { 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
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 Vercel AI SDK gives every Readwise tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 tools through 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
- 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 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.
All 16 Readwise tools available for Vercel AI SDK
When Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to wire Readwise into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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
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.
"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 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.