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Pocket MCP Server for OpenAI Agents SDKGive OpenAI Agents 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 OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pocket through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Pocket app connector for OpenAI Agents 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Pocket Assistant",
            instructions=(
                "You help users interact with Pocket. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Pocket"
        )
        print(result.final_output)

asyncio.run(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 OpenAI Agents SDK auto-discovers all 12 tools from Pocket through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pocket, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Pocket

Why Use OpenAI Agents SDK with the Pocket MCP Server

OpenAI Agents SDK provides unique advantages when paired with Pocket through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Pocket + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Pocket MCP Server delivers measurable value.

01

Automated workflows: build agents that query Pocket, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Pocket, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Pocket tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Pocket to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Pocket in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Pocket + OpenAI Agents SDK FAQ

Common questions about integrating Pocket MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.