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Pocket MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Tags To Item, Archive Pocket Item, Clear Item Tags, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pocket through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Pocket app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Pocket, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Pocket
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Pocket MCP Server

Connect your Pocket account to any AI agent and take full control of your digital reading list and knowledge orchestration through natural conversation. Pocket is the premier platform for saving and organizing web content, and this integration allows you to save articles, manage multi-item tags, and archive completed reads directly from your chat interface.

The Vercel AI SDK gives every Pocket tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Reading List Orchestration — Save articles, videos, and web pages programmatically with custom titles and tags to ensure your research is always synchronized.
  • Content Organization Intelligence — Retrieve and filter your saved items by state (unread, archive), content type, or specific tags directly from the AI interface to maintain a high-fidelity library.
  • Metadata & Tag Control — Add, remove, or rename tags across multiple items via natural language to drive better categorization efficiency.
  • Library Lifecycle Management — Archive, favorite, or delete items using simple AI commands to keep your reading workflow streamlined.
  • Operational Monitoring — Track system responses and manage authorization metadata to ensure your content curation is always optimized.

The Pocket MCP Server exposes 12 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 12 Pocket tools available for Vercel AI SDK

When Vercel AI SDK connects to Pocket through Vinkius, your AI agent gets direct access to every tool listed below — spanning content-curation, reading-list, bookmarking, 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.

add_tags_to_item

Add labels to item

archive_pocket_item

Archive an item

clear_item_tags

Remove all labels

delete_pocket_item

Permanently remove item

favorite_pocket_item

Mark as favorite

list_saved_items

List your reading list

remove_tags_from_item

Remove labels from item

rename_pocket_tag

Modify tag name

save_to_pocket

Save a URL to Pocket

search_pocket_list

Search by keywords

test_pocket_auth

Check connection

unfavorite_pocket_item

Remove from favorites

Connect Pocket to Vercel AI SDK via MCP

Follow these steps to wire Pocket into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Pocket and passes them to the LLM

Why Use Vercel AI SDK with the Pocket MCP Server

Vercel AI SDK provides unique advantages when paired with Pocket through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Pocket integration everywhere

03

Built-in streaming UI primitives let you display Pocket tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Pocket + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Pocket MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Pocket in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Pocket tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Pocket capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Pocket through natural language queries

Example Prompts for Pocket in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pocket immediately.

01

"List my last 10 unread items in Pocket."

02

"Show me all articles I saved this week organized by tag and reading time."

03

"Archive all articles tagged with Q1 Research that I have already read."

Troubleshooting Pocket MCP Server with Vercel AI SDK

Common issues when connecting Pocket to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pocket + Vercel AI SDK FAQ

Common questions about integrating Pocket MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.