productivity

Pocket

kazuph

by kazuph

Integrate with Pocket to manage and retrieve saved articles using natural language via the Pocket API for easy access.

Integrates with the Pocket API to enable natural language-based retrieval and management of saved articles.

github stars

9

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Works with existing Pocket libraryNatural language article search

best for

  • / Researchers managing large collections of saved articles
  • / Content creators looking for previously saved references
  • / Knowledge workers who save articles for later reading

capabilities

  • / Fetch saved articles from Pocket
  • / Search through article titles and content
  • / Retrieve article URLs and excerpts
  • / Access your entire Pocket library via Claude

what it does

Connects Claude to your Pocket account so you can search and retrieve your saved articles using natural language queries.

about

Pocket is a community-built MCP server published by kazuph that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Pocket to manage and retrieve saved articles using natural language via the Pocket API for easy access. It is categorized under productivity.

how to install

You can install Pocket in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Pocket is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Pocket

This is a connector to allow Claude Desktop (or any MCP client) to fetch your saved articles from Pocket API.

<a href="https://glama.ai/mcp/servers/1e2o9ooltu"><img width="380" height="200" src="https://glama.ai/mcp/servers/1e2o9ooltu/badge" alt="@kazuph/mcp-pocket MCP server" /></a>

Prerequisites

Quick Start

  1. Modify your Claude Desktop config located here: ~/Library/Application\ Support/Claude/claude_desktop_config.json

You can easily find this through the Claude Desktop menu:

  1. Open Claude Desktop
  2. Click Claude on the Mac menu bar
  3. Click "Settings"
  4. Click "Developer"

If you don't have this config, you can create an empty file at this location.

Add the following to the config file, replacing the credentials with your own:

{
  "mcpServers": {
    "pocket": {
      "command": "npx",
      "args": ["-y", "@kazuph/mcp-pocket"],
      "env": {
        "POCKET_CONSUMER_KEY": "your-pocket-consumer-key",
        "POCKET_ACCESS_TOKEN": "your-pocket-access-token"
      }
    }
  }
}

Development Setup

  1. Clone this repository and install dependencies:
git clone https://github.com/kazuph/mcp-pocket.git
cd mcp-pocket
npm install
  1. For development, use this configuration instead:
{
  "mcpServers": {
    "pocket": {
      "command": "npx",
      "args": ["tsx", "/path/to/mcp-pocket/index.ts"],
      "env": {
        "POCKET_CONSUMER_KEY": "your-pocket-consumer-key",
        "POCKET_ACCESS_TOKEN": "your-pocket-access-token"
      }
    }
  }
}

Development Commands

# Build TypeScript
npm run build

# Watch mode for development
npm run watch

# Publish to npm
npm login
npm publish

Available Commands

The following MCP tools will be available in Claude Desktop:

  • pocket_get_articles: Fetch your saved articles from Pocket API. Returns title, URL, and excerpt for each article.
  • pocket_mark_as_read: Mark a specific article as read (archived) in your Pocket account using its item ID.

Getting Pocket API Credentials

For detailed instructions on obtaining your Pocket API credentials, please refer to Issue #2.

Quick steps:

  1. Create a new app at Pocket Developer Portal
  2. Follow the authentication process to get your Consumer Key and Access Token

License

MIT

FAQ

What is the Pocket MCP server?
Pocket is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Pocket?
This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.751 reviews
  • Aditi Diallo· Dec 28, 2024

    Pocket is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Zara Gill· Dec 16, 2024

    Useful MCP listing: Pocket is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Zaid Li· Dec 4, 2024

    Strong directory entry: Pocket surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Zaid Srinivasan· Nov 23, 2024

    I recommend Pocket for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Diego Ndlovu· Nov 19, 2024

    We evaluated Pocket against two servers with overlapping tools; this profile had the clearer scope statement.

  • Kiara Nasser· Nov 7, 2024

    According to our notes, Pocket benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Sakshi Patil· Nov 3, 2024

    Pocket is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Maya Khanna· Oct 26, 2024

    I recommend Pocket for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Chaitanya Patil· Oct 22, 2024

    Pocket has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Aisha Dixit· Oct 14, 2024

    According to our notes, Pocket benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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