prompt_bookmarks

nika-is-nika/prompt_bookmarks

3.2

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Prompt Bookmarks is a tool designed to organize and access prompts across various AI tools using the Model Context Protocol (MCP).

Tools
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Resources
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Prompts
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Prompt Bookmarks

A tool for organizing and accessing prompts across AI tools via Model Context Protocol (MCP).

Features

  • Hierarchical Organization - Organize prompts in folders and subfolders
  • Flexible Tagging - Tag prompts by topic, tool, or custom categories
  • Claude Desktop Integration - Direct stdio-based MCP integration for seamless access
  • Template Variables - Use prompts with variable substitution like {name} or {{project}}
  • Multi-Tool Support - Works with Claude Desktop, Perplexity, and other MCP-compatible AI tools
  • Shared Database - Single prompt library accessible across all connected AI tools
  • CLI Interface - Command-line management for all operations
  • Search & Filter - Find prompts quickly by content, tags, or folders
  • Real-time Updates - Changes sync instantly between CLI and MCP interfaces
  • Minimal Dependencies - Clean architecture with only essential packages

Installation

🚀 DXT Package (Claude Desktop)

For Claude Desktop users:

  1. Download prompt-bookmarks.dxt from releases
  2. Open Claude Desktop and navigate to Settings -> Extensions.
  3. Drag the dxt file to Claude Desktop.
  4. Click Install and then enable the Extension with a toggle.
  5. The extension automatically installs Python dependencies
  6. Enjoy! ✨

⚡ Claude Code Installation

For Claude Code users (fastest method):

claude mcp add prompt_bookmarks node /your-path/prompt_bookmarks/index.js

This automatically configures the MCP server in Claude Code with the correct path.

🔌 Manual MCP Setup (Perplexity)

For Perplexity or other MCP-compatible tools:

  1. Clone or download this repository to your local machine.

  2. Install Python dependencies:

    cd prompt_bookmarks
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows
pip install -r requirements.txt
python install.py

  3. Navigate to Connectors in settings and add new conenctor with the following:

    {
  "args": ["/path/to/prompt_bookmarks/index.js"],
  "command": "node",
  "env": {},
  "useBuiltInNode": true
}

  4. Replace /path/to/prompt_bookmarks with your actual installation path.

  5. Give the connector a name.

  6. Click Save.

  7. Enjoy! ✨

⚙️ Development Installation

  1. Install:

    pip install -e .

  2. Initialize:

    prompt-bookmarks init

  3. Add a prompt:

    prompt-bookmarks add "My prompt" --folder "dev" --tags "python,debugging"

  4. Configure your AI tool:

    {
  "mcpServers": {
    "prompt-bookmarks": {
      "command": "/path/to/your/prompt_bookmarks/venv/bin/prompt-bookmarks",
      "args": ["serve"],
      "env": {}
    }
  }
}

    Find your path:

    cd /path/to/your/prompt_bookmarks
source venv/bin/activate
which prompt-bookmarks

  5. Restart Claude Desktop completely and test with:

    "What MCP tools do you have available?"

Usage

CLI Commands

  • init - Initialize the prompt database
  • add - Add a new prompt
  • list - List prompts with filtering
  • search - Search prompts by content
  • edit - Edit an existing prompt
  • delete - Delete a prompt
  • serve - Start MCP server for Claude Desktop integration

MCP Integration

Once configured, you can manage prompts directly from Claude Desktop conversations:

Example usage:

  • "Create a prompt titled 'Code Review' with content 'Please review this {language} code for {aspects}' in folder 'Development' with tags 'coding' and 'review'"
  • "Search my prompts for 'python' and show me the top 5"
  • "Find and use a prompt about code review with variables language='JavaScript' and aspects='performance'"
  • "Update prompt ID 3 to change its folder to 'AI/Templates'"
  • "Show me all my folders and create a new one called 'Personal/Notes'"

Available MCP Tools (15 total):

Prompt Management:

  • search_prompts - Find prompts by content, tags, or folder (supports limit parameter)
  • create_prompt - Save new prompts during conversations
  • get_prompt - Retrieve prompt content for immediate use
  • update_prompt - Modify existing prompts (title, content, description, folder, tags)
  • delete_prompt - Remove outdated prompts
  • use_prompt_template - Use prompts with variable substitution
  • find_and_use_prompt - Search and immediately use prompts with variables

Organization:

  • get_folders - List all folder structures
  • create_folder - Create new folder paths (e.g., 'AI/Coding/Python')
  • update_folder - Rename folders and update all child folders/prompts
  • delete_folder - Remove folders and move prompts to parent
  • get_tags - List all available tags
  • create_tag - Create tags with categories and colors
  • update_tag - Update tag name, category, or color
  • delete_tag - Remove tags from the system

Variable Substitution

Prompts support dynamic variables in two formats:

  • {variable_name} - Single braces
  • {{variable_name}} - Double braces

Example:

Hello {name},

Thank you for your interest in {product}.

Best regards,
{sender}

Usage: "Use prompt ID 5 with variables name='John', product='our software', sender='Sarah'"

Advanced Usage Examples

Creating & Organizing:

  • "Create a prompt called 'Bug Report Template' with content 'Bug: {title}\nSteps: {steps}\nExpected: {expected}\nActual: {actual}' in folder 'Templates' with tags 'bug' and 'template'"
  • "Create a folder 'AI/Writing/Blog' and a tag 'content-creation' with category 'workflow' and color '#00D4AA'"

Managing Structure:

  • "Rename folder 'AI/Coding' to 'AI/Development' to better reflect its purpose"
  • "Update tag 'old-name' to 'new-name' and change its category to 'productivity'"
  • "Update prompt ID 5 to change the title to 'Enhanced Code Review' and add tag 'quality-assurance'"

Using Templates:

  • "Find a prompt about code review and use it with language='Python' and focus='security'"
  • "Search my prompts for 'python' with limit 25"

Batch Operations:

  • "First, create a prompt for meeting notes with variables {date}, {attendees}, {topics}. Then search for all prompts tagged 'meetings' and show me the first 3."

Organization Features

Hierarchical Folders:

  • AI/Coding/Python
  • Marketing/Email/Welcome
  • Templates/Reports

Flexible Tagging:

  • AI Tools: claude, chatgpt, perplexity
  • Topics: coding, writing, analysis
  • Categories: template, example, draft
  • Custom: Any tag with optional category and color

Troubleshooting

Tools Not Available:

  1. Verify path: which prompt-bookmarks
  2. Restart Claude Desktop after config changes
  3. Check config file syntax (JSON must be valid)
  4. For MCPB installation issues, check Claude Desktop logs for "spawn python ENOENT" errors

Server Issues:

  1. Ensure virtual environment is activated
  2. Test command: prompt-bookmarks --help
  3. Make executable: chmod +x /path/to/venv/bin/prompt-bookmarks

Limits:

  • Prompts: Up to 1,000 per search (default: 10)
  • Folders: No limit (returns all)
  • Tags: No limit (returns all)

Tips for Best Results

  1. Be specific in search queries for better results
  2. Use consistent tagging for easier organization
  3. Create templates with variables for reusable prompts
  4. Organize with folders to maintain logical structure
  5. Test variables to ensure proper substitution

Development

  1. Clone and set up:

    git clone <repo>
cd prompt_bookmarks
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows
pip install -e ".[dev]"

  2. Run tests:

    pytest

Requirements

  • Python 3.8+ (automatically managed in DXT package)
  • Node.js 16+ (for DXT package execution)
  • Dependencies are automatically installed during setup

Support

For issues and feature requests, visit: https://github.com/veronikatamaioflores/prompt_bookmarks

License

MIT License - see LICENSE file for details.