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Vinkius

Pocket MCP Server for Mastra AIGive Mastra AI 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

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pocket through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Pocket app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "pocket": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Pocket Agent",
    instructions:
      "You help users interact with Pocket " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Pocket?"
  );
  console.log(result.text);
}

main();
Pocket
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Pocket tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra 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 12 Pocket tools available for Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 12 tools from Pocket via MCP

Why Use Mastra AI with the Pocket MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pocket without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Pocket tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Pocket + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Pocket, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Pocket as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Pocket on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Pocket tools alongside other MCP servers

Example Prompts for Pocket in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Pocket + Mastra AI FAQ

Common questions about integrating Pocket MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.