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Pocket

Pocket MCP Server with 12 Tools Ready for AI Agents

MCP Inspector GDPR Free for Subscribers

Save articles, videos, and web pages to read later with a personal content library that syncs across all your devices. Unlock 12 tools ready out of the box. Connect this App Connector to instantly empower AI agents like Claude Code, Cursor, or any MCP-compatible client with advanced capabilities.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

AI AgentVinkius
High Security·Kill Switch·Plug and Play
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

What is the Pocket MCP Server?

The Pocket MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Pocket via 12 tools. Save articles, videos, and web pages to read later with a personal content library that syncs across all your devices. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (12)

add_tags_to_itemarchive_pocket_itemclear_item_tagsdelete_pocket_itemfavorite_pocket_itemlist_saved_itemsremove_tags_from_itemrename_pocket_tagsave_to_pocketsearch_pocket_listtest_pocket_authunfavorite_pocket_item

Tools for your AI Agents to operate Pocket

Ask your AI agent "List my last 10 unread items in Pocket." and get the answer without opening a single dashboard. With 12 tools connected to real Pocket data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

The Pocket App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 12 Pocket tools with your AI agents right now

Empower your AI agents to connect to Pocket and securely perform advanced actions on Vinkius infrastructure. Beyond a simple connection, you gain an advanced AI Gateway that provides complete visibility into agent activity, ensuring maximum 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

What the Pocket MCP Server unlocks

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.

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.

How it works

1. Subscribe to this server
2. Enter your Pocket Consumer Key and Access Token from your developer portal
3. Start managing your reading list from Claude, Cursor, or any MCP-compatible client

No more manual tagging or losing track of interesting articles. Your AI acts as a dedicated research assistant or knowledge coordinator.

Who is this for?

  • Researchers & Students — quickly save and tag relevant papers and articles without switching apps.
  • Content Curators — automate the organization of inspiration feeds and track high-quality sources via natural conversation.
  • Avid Readers — streamline the retrieval of unread items and monitor personal knowledge growth directly within the chat.

Frequently asked questions about the Pocket MCP Server

01

Can my AI automatically find items with a specific tag in Pocket?

Yes! Use the get_pocket_items tool. Provide the tag parameter, and your agent will respond with all matching items, including titles, URLs, and time added in seconds.

02

How do I find my Consumer Key and Access Token?

Visit the Pocket Developer Portal, create an application to get your Consumer Key, and perform the OAuth flow to obtain your Access Token.

03

Can I archive multiple items at once via the AI?

While the archive_item tool handles items individually, you can ask the agent to process a list of IDs sequentially to clean up your library.

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