Pinboard Bookmarks

v1.0.0Knowledge & Memorystable

Pinboard bookmarks MCP server

pinboard-bookmarksmcpai-integration
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What is Pinboard Bookmarks?

Pinboard Bookmarks is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to pinboard bookmarks mcp server

Pinboard bookmarks MCP server

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Pinboard bookmarks MCP server

Use Cases

Access and organize bookmarks from Pinboard within Claude.
Retrieve saved web links and annotations for research.
rossshannon

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 2, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx pinboard-bookmarks

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Pinboard Bookmarks

The Pinboard Bookmarks MCP Server connects Claude and other MCP-compatible AI assistants to your Pinboard.in bookmark collection. It provides five tools for searching, listing, and filtering your saved bookmarks and tags, with built-in rate-limit compliance enforcing a 3-second delay between Pinboard API calls as required by the Pinboard API terms.

Prerequisites

  • Python 3.10 or higher
  • Active Pinboard.in account
  • Pinboard API token from https://pinboard.in/settings/password (format: username:token)
  • pip for package installation
  • Claude Desktop or another MCP-compatible client
1

Install the package via pip

Install the Pinboard Bookmarks MCP server directly from PyPI. This is the recommended installation method.

pip install pinboard-bookmarks-mcp-server
2

Retrieve your Pinboard API token

Log into Pinboard.in and navigate to https://pinboard.in/settings/password. Your API token is displayed in the format 'username:tokenstring'. Copy the full token including the username prefix.

3

Configure Claude Desktop

Add the Pinboard MCP server to your Claude Desktop configuration file. The PINBOARD_TOKEN must use the full 'username:token' format.

{
  "mcpServers": {
    "pinboard": {
      "command": "pinboard-mcp-server",
      "env": {
        "PINBOARD_TOKEN": "yourusername:yourtokenhere"
      }
    }
  }
}
4

Restart Claude Desktop and verify

Restart Claude Desktop to load the new MCP server configuration. The Pinboard server should appear as an active connection. Test by asking Claude to list your recent bookmarks.

Pinboard Bookmarks Examples

Client configuration

Complete Claude Desktop configuration for the Pinboard Bookmarks MCP server. Replace the PINBOARD_TOKEN value with your actual token from https://pinboard.in/settings/password.

{
  "mcpServers": {
    "pinboard": {
      "command": "pinboard-mcp-server",
      "env": {
        "PINBOARD_TOKEN": "jsmith:ABC123DEF456GHI789"
      }
    }
  }
}

Prompts to try

Ask Claude these questions after connecting your Pinboard account.

- "Show me my bookmarks from the last 7 days"
- "Search my bookmarks for articles about Rust programming"
- "List all my bookmarks tagged with 'machine-learning' and 'python'"
- "What are my most-used tags and how many bookmarks does each have?"
- "Find bookmarks I saved in the last year about MCP servers"

Troubleshooting Pinboard Bookmarks

Error: PINBOARD_TOKEN is required

Set the PINBOARD_TOKEN environment variable in the 'env' section of your claude_desktop_config.json. The token must use the format 'username:token' — both parts separated by a colon. Get your token from https://pinboard.in/settings/password.

Command 'pinboard-mcp-server' not found

Ensure the package was installed in the Python environment that Claude Desktop can access. If you used a virtual environment, use the absolute path to the pinboard-mcp-server script: '/path/to/venv/bin/pinboard-mcp-server'. Run 'which pinboard-mcp-server' to find the correct path.

API calls are slow or return rate limit errors

The server automatically enforces a 3-second delay between Pinboard API calls to comply with Pinboard's rate limit policy. This is expected behavior for bulk operations. Do not attempt to remove this delay as it may result in your API token being blocked.

Frequently Asked Questions about Pinboard Bookmarks

What is Pinboard Bookmarks?

Pinboard Bookmarks is a Model Context Protocol (MCP) server that pinboard bookmarks mcp server It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Pinboard Bookmarks?

Follow the installation instructions on the Pinboard Bookmarks GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Pinboard Bookmarks?

Pinboard Bookmarks works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Pinboard Bookmarks free to use?

Yes, Pinboard Bookmarks is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "pinboard-bookmarks": { "command": "npx", "args": ["-y", "pinboard-bookmarks"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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