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PinThePiece MCP Server: Real-Time Collaboration & Scalable APIs - MCP Implementation

PinThePiece MCP Server: Real-Time Collaboration & Scalable APIs

PinThePiece MCP Server: Python-powered note management with real-time sync, seamless team collaboration, and scalable APIs—organize ideas effortlessly across projects.

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About PinThePiece MCP Server

What is PinThePiece MCP Server: Real-Time Collaboration & Scalable APIs?

PinThePiece is a specialized Model Context Protocol (MCP) server designed to manage structured note data with enterprise-grade reliability. It enables teams to collaborate in real-time while ensuring data integrity through atomic operations, versioning, and automated backups. The server provides a RESTful API layer for scalable integration into larger applications, supporting both local deployments and cloud environments.

How to Use PinThePiece MCP Server: Real-Time Collaboration & Scalable APIs?

Begin by configuring the server in your MCP client settings using the provided JSON examples for desktop apps. Developers can deploy via command-line tools like uv run for local testing or uvx for production use. Key workflows include adding notes through the add-note tool and generating summaries with the summarize-notes prompt. For troubleshooting, the MCP Inspector tool provides a browser-based debugging interface to monitor server operations in real-time.

PinThePiece MCP Server Features

Key Features of PinThePiece MCP Server: Real-Time Collaboration & Scalable APIs?

Central to its architecture is a hierarchical storage system that organizes notes by date and tags, ensuring effortless navigation even at scale. Every write operation uses atomic commits with automatic pre-backups, preventing data loss during system failures. The version control system allows safe format upgrades while maintaining backward compatibility. Built-in concurrency controls use file locking and transaction rollback mechanisms to handle simultaneous edits without conflicts.

Use Cases of PinThePiece MCP Server: Real-Time Collaboration & Scalable APIs?

Teams use this server for collaborative project management, maintaining audit trails through detailed logs and version histories. Developers integrate it into documentation systems requiring strict data validation, while researchers benefit from the checksum verification during large-scale note imports. Its API makes it ideal for building note-taking extensions in IDEs or real-time collaboration features in SaaS platforms.

PinThePiece MCP Server FAQ

FAQ from PinThePiece MCP Server: Real-Time Collaboration & Scalable APIs?

How do I restore from a backup? Use the --restore flag with the add-note tool specifying the timestamp from index.json.
What if two users edit the same note? File locking prevents overwrites; the system records both changes as separate versions.
Can I customize storage locations? Yes, update the paths in your MCP configuration file (see storage docs).
How is performance affected at scale? The hierarchical structure and metadata indexing ensure sub-second search times even with tens of thousands of notes.

Content

PinThePiece MCP server

A robust Model Context Protocol (MCP) server that provides a sophisticated note management system. This server implements a feature-rich note storage solution with emphasis on data integrity, organization, and accessibility. Key features include hierarchical storage, atomic operations, versioning support, automatic backups, and comprehensive search capabilities.

Features

Note Storage System

The server implements a sophisticated note storage system with:

  • Hierarchical storage structure for better organization and scalability
  • Atomic file operations for data integrity
  • Versioning and metadata support
  • Automatic backups
  • Concurrent access handling
  • Comprehensive logging

Storage Structure

~/.pinthepiece/
├── notes/
│   ├── data/
│   │   └── YEAR/
│   │       └── MONTH/
│   │           └── note-name.json
│   ├── backups/
│   │   └── note-name.json.TIMESTAMP.bak
│   └── index.json
└── logs/
    └── notes.log

Note Format

Each note is stored as a JSON file with:

  • Content: The main text of the note
  • Created/Modified timestamps
  • Tags for organization
  • Description (optional)
  • Metadata including:
    • Format version
    • Last backup timestamp
    • Content checksum

Resources

The server implements a note storage system with:

  • Custom note:// URI scheme for accessing individual notes
  • Each note resource has:
    • Name: Unique identifier
    • Content: Main text content
    • Description: Optional description
    • Tags: List of categorization tags
    • Metadata: Version and integrity information
    • MIME type: text/plain

Data Safety Features

  • Atomic Operations : All file writes use atomic operations to prevent corruption
  • Backup System : Automatic backups before modifications
  • Version Control : File format versioning for future compatibility
  • Data Validation : Checksum verification and integrity checks
  • Concurrent Access : File locking for thread safety
  • Error Recovery : Transaction-like operations with rollback capability

Prompts

The server provides a single prompt:

  • summarize-notes: Creates summaries of all stored notes
    • Optional "style" argument to control detail level (brief/detailed)
    • Generates prompt combining all current notes with style preference

Tools

The server implements one tool:

  • add-note: Adds a new note to the server
    • Takes "name" and "content" as required string arguments
    • Optional "tags" and "description" arguments
    • Updates server state and notifies clients of resource changes
    • Performs atomic file operations with backup creation

Configuration

Storage Location

By default, the server stores notes in:

  • ~/.pinthepiece/notes/ - Main storage directory
  • ~/.pinthepiece/logs/ - Log files

Logging

  • Detailed logging of all operations
  • Log rotation for space management
  • Both file and console logging available
  • Configurable log levels

Quickstart

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration
"mcpServers": {
  "pinthepiece": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/pmoreira/create-python-server/pinthepiece",
      "run",
      "pinthepiece"
    ]
  }
}
Published Servers Configuration
"mcpServers": {
  "pinthepiece": {
    "command": "uvx",
    "args": [
      "pinthepiece"
    ]
  }
}

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN
  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory /Users/pmoreira/create-python-server/pinthepiece run pinthepiece

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

Error Handling

The server implements comprehensive error handling:

  • Detailed error logging with stack traces
  • Automatic cleanup of temporary files
  • Recovery from interrupted operations
  • Backup restoration capability
  • Data validation on load/save

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