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Shopify Liquid MCP Server

๐Ÿš€ Fast, local, offline-first MCP server for Shopify Liquid documentation with 198 comprehensive docs including all tags, filters, and objects.

Python 3.10+ License: MIT Docker MCP

A specialized Model Context Protocol (MCP) server that provides instant access to complete Shopify Liquid documentation for AI assistants like Claude, Cursor, and other MCP-compatible tools.

๐ŸŽฏ Why This MCP Server?

vs. Official Shopify MCP

While Shopify provides an official MCP server that covers all Shopify APIs, this server is specifically optimized for Liquid template development:

Feature

Official Shopify MCP

This (Liquid MCP)

Focus

All Shopify APIs (Admin, Storefront, Functions, etc.)

Liquid templating only

Storage

Remote (queries shopify.dev)

Local (no network needed)

Speed

Network-dependent

Instant (<1ms)

Offline

โŒ Requires internet

โœ… Fully offline

Customization

Fixed documentation

Add your own docs

Coverage

General API docs

198 Liquid-specific docs

Runtime

Node.js

Python

Use Cases

Use Official Shopify MCP for:

  • Admin API/GraphQL development

  • App development with Shopify APIs

  • Functions and POS extensions

  • Real-time schema validation

Use This Liquid MCP for:

  • Theme development with Liquid

  • Liquid template debugging

  • Offline development

  • Faster Liquid reference lookups

  • Project-specific Liquid snippets

Use Both! They complement each other perfectly - official MCP for APIs, this for Liquid.

โœจ Features

  • ๐Ÿš€ Lightning Fast - Local SQLite FTS5 search (<1ms response time)

  • ๐Ÿ“š Complete Coverage - 30 tags, 101 filters, 67 objects (198 total docs)

  • ๐Ÿ”Œ Offline First - No network requests, works anywhere

  • ๐Ÿณ Docker Ready - One command deployment

  • ๐ŸŽจ IDE Integration - Works with VS Code, Cursor, Claude Desktop, Zed

  • ๐Ÿ”ง Customizable - Add your own project-specific Liquid docs

  • ๐Ÿ“– Rich Documentation - Full syntax, parameters, examples for everything

  • ๐Ÿ” Smart Search - Full-text search with snippet highlighting

๐Ÿ“ฆ Installation

pip install git+https://github.com/florinel-chis/shopify-liquid-mcp.git

Option 2: Using Docker

# Pull the image docker pull florinel-chis/shopify-liquid-mcp:latest # Or build locally docker build -t shopify-liquid-mcp . docker run -it shopify-liquid-mcp

Option 3: Using docker-compose

docker-compose up -d

Option 4: From Source

git clone https://github.com/florinel-chis/shopify-liquid-mcp.git cd shopify-liquid-mcp pip install -e .

๐ŸŽฎ Usage

With VS Code

Using Docker

Create or edit .vscode/settings.json:

{ "mcp.servers": { "shopify-liquid": { "type": "docker", "image": "shopify-liquid-mcp:latest", "transport": "stdio" } } }

Using Local Installation

Create .mcp.json in your project root:

{ "mcpServers": { "shopify-liquid": { "type": "stdio", "command": "shopify-liquid-mcp" } } }

Or add to VS Code settings:

{ "mcp.servers": { "shopify-liquid": { "command": "shopify-liquid-mcp", "args": [], "transport": "stdio" } } }

With Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

Using Docker

{ "mcpServers": { "shopify-liquid": { "type": "stdio", "command": "docker", "args": ["run", "-i", "--rm", "shopify-liquid-mcp:latest"] } } }

Using Local Installation

{ "mcpServers": { "shopify-liquid": { "command": "shopify-liquid-mcp" } } }

With Cursor

Add to Cursor's MCP configuration (Settings > Features > MCP Servers):

{ "mcpServers": { "shopify-liquid": { "command": "shopify-liquid-mcp" } } }

Or with Docker:

{ "mcpServers": { "shopify-liquid": { "command": "docker", "args": ["run", "-i", "--rm", "shopify-liquid-mcp:latest"] } } }

With Zed Editor

Create .zed/settings.json:

{ "context_servers": { "shopify-liquid": { "command": "shopify-liquid-mcp" } } }

With Continue.dev

Edit ~/.continue/config.json:

{ "mcpServers": [ { "name": "shopify-liquid", "command": "shopify-liquid-mcp" } ] }

๐Ÿ› ๏ธ Available Tools

Once configured, your AI assistant has access to 7 specialized tools:

1. search_liquid_docs(queries: List[str])

Full-text search across all Shopify Liquid documentation.

Example:

AI: I'll search for "for loop" in the documentation...

2. get_liquid_tag(tag_name: str)

Get complete documentation for a specific tag.

Example:

AI: Let me get the documentation for the 'for' tag...

3. get_liquid_filter(filter_name: str)

Get complete documentation for a specific filter.

Example:

AI: I'll look up the 'upcase' filter documentation...

4. get_liquid_object(object_name: str)

Get complete documentation for a specific object.

Example:

AI: Let me check the 'product' object properties...

5. list_liquid_tags()

List all 30 available tags organized by category.

6. list_liquid_filters()

List all 101 available filters organized by category.

7. list_liquid_objects()

List all 67 available objects organized by category.

๐Ÿ’ฌ Example Queries

Try asking your AI assistant:

Getting Documentation:

  • "Show me documentation for the for loop tag"

  • "How does the money filter work in Liquid?"

  • "What properties are available on the product object?"

Searching:

  • "Search for documentation about cart functionality"

  • "Find all filters related to dates"

  • "What objects can I use for collections?"

Listing:

  • "List all Shopify Liquid tags"

  • "Show me all available string filters"

  • "What iteration tags are available?"

Building:

  • "Help me display products in a grid"

  • "How do I format dates in Liquid?"

  • "Show me how to work with the cart"

๐Ÿ“Š Documentation Coverage

Complete Reference

  • 30 Liquid Tags

    • Control flow: if, unless, case, else

    • Iteration: for, break, continue, cycle, tablerow, paginate

    • Variables: assign, capture, increment, decrement, echo

    • Theme: layout, section, sections, render, include, content_for

    • HTML/Assets: form, style, stylesheet, javascript

    • Syntax: comment, raw, liquid, doc

  • 101 Liquid Filters

    • String (24): upcase, downcase, capitalize, append, prepend, etc.

    • Array (13): join, sort, reverse, map, where, size, etc.

    • Math (11): plus, minus, times, divided_by, modulo, etc.

    • Money (4): money, money_with_currency, etc.

    • Image (5): image_url, image_tag, etc.

    • Color (9): color_darken, color_lighten, etc.

    • And more...

  • 67 Liquid Objects

    • Store: shop, settings, theme, brand

    • Products: product, variant, collection, collections

    • Cart: cart, line_item, checkout

    • Customer: customer, address, company

    • Content: page, blog, article, comment

    • Media: image, video, media, model

    • And more...

๐Ÿณ Docker Usage

Quick Start

# Build the image docker build -t shopify-liquid-mcp . # Run the server docker run -it --rm shopify-liquid-mcp # Run with persistent data docker run -it --rm -v mcp-data:/data shopify-liquid-mcp

Using docker-compose

# Start the server docker-compose up -d # View logs docker-compose logs -f # Stop the server docker-compose down # Shell access docker-compose exec shopify-liquid-mcp bash

Custom Documentation

Add your project-specific Liquid docs:

# Create custom docs directory mkdir custom-docs # Add your .md files cp my-snippets.md custom-docs/ # Mount in docker-compose.yml volumes: - ./custom-docs:/docs/custom:ro

๐Ÿ”ง Development

Running Tests

# Run all tests pytest # Run specific test pytest tests/test_ingest.py # Run with coverage pytest --cov=shopify_liquid_mcp

Manual Testing

# Test the server python test_server.py # Test indexing python -m shopify_liquid_mcp.ingest # Check database sqlite3 ~/.mcp/shopify-liquid-docs/database.db "SELECT COUNT(*) FROM liquid_docs;"

Reindexing Documentation

# Force reindex python -m shopify_liquid_mcp.ingest --force # Custom database location SHOPIFY_LIQUID_DB_PATH=/custom/path/db.sqlite python -m shopify_liquid_mcp.ingest

๐Ÿ“– Documentation

๐Ÿค Contributing

Contributions welcome! Please read our Contributing Guide.

Quick Start

# Fork and clone git clone https://github.com/florinel-chis/shopify-liquid-mcp.git cd shopify-liquid-mcp # Create virtual environment python -m venv venv source venv/bin/activate # or `venv\Scripts\activate` on Windows # Install for development pip install -e ".[dev]" # Run tests pytest # Make changes and submit PR

๐Ÿ“œ License

MIT License - see LICENSE file for details.

๐Ÿ™ Acknowledgments

๐Ÿ“ž Support

โญ Star History

Star History Chart


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