MCP Servers for AI-Powered Development

Open-source Model Context Protocol servers that bring platform-specific documentation directly into your AI development workflow. Built with Python, optimized for Claude.

Accelerating AI Development with Context-Aware Tools

Model Context Protocol (MCP) servers bridge the gap between AI assistants and platform-specific knowledge. These open-source tools provide instant, offline access to comprehensive documentation, enabling faster development with accurate, context-aware assistance.

Sub-50ms Search

Offline-First

100% Open Source

Claude Optimized

PrestaShop MCP Server

Comprehensive PrestaShop documentation at your fingertips

Offline-first MCP server providing instant access to 1,095+ indexed PrestaShop documents including hooks, components, guides, and APIs with lightning-fast full-text search.

v1.0.0 Python 3.10+
1,095+
Documents
647+
Hooks
119+
Components

Key Features

Lightning-Fast Search

SQLite FTS5 full-text search delivers results in under 50ms

Comprehensive Hook Documentation

Search and retrieve details for 647+ PrestaShop hooks with type and origin filtering

UI Component Library

Complete documentation for 119+ PrestaShop UI components

Offline-First Architecture

Zero network dependency - works completely offline with local SQLite database

Docker Support

Simplified deployment with Docker and docker-compose configurations

Intelligent Categorization

Automatic organization of documentation by type and category

MCP Tools (7)

  • search_prestashop_docs() - Full-text documentation search
  • get_prestashop_doc() - Retrieve specific documentation files
  • list_prestashop_docs() - List available documentation with filters
  • get_prestashop_stats() - Documentation statistics
  • search_prestashop_hooks() - Hook-specific searching
  • get_prestashop_hook() - Detailed hook documentation
  • list_prestashop_hooks() - Hook listing by type/origin

Use Cases

  • Rapid PrestaShop theme development with instant hook reference
  • Module development with comprehensive API documentation
  • Migration projects requiring deep platform knowledge
  • Training AI assistants on PrestaShop best practices

Technical Highlights

  • Framework: FastMCP
  • Database: SQLite with FTS5 full-text search
  • Response time: < 50ms average
  • Deployment: STDIO, Docker, docker-compose

Magento GraphQL Documentation MCP

Complete Magento 2 GraphQL API reference for AI assistants

Local STDIO MCP server parsing 350+ GraphQL documentation pages with schema-aware querying, multi-language code examples, and intelligent categorization for Magento 2 development.

v1.0.0 Python 3.10+ magento-graphql-docs-mcp
350+
Documents
Multiple
Languages
Complete schema
Elements

Key Features

Schema-Aware Querying

Search queries, mutations, types, and interfaces with full schema definitions

Multi-Language Code Examples

Working code examples in multiple programming languages for every API call

Smart Caching

Re-indexes only when source files change, ensuring fast startup times

Category Navigation

Browse documentation hierarchy with category and subcategory filtering

Element Discovery

Automatic discovery of related documentation and schema elements

Multiple Deployment Modes

STDIO, HTTP/SSE, Docker, and docker-compose support

MCP Tools (6)

  • search_documentation - Full-text search with category filters
  • get_document - Retrieve complete documentation with metadata
  • search_graphql_elements - Find queries, mutations, types, interfaces
  • get_element_details - View complete schema element definitions
  • browse_categories - Navigate documentation hierarchy
  • search_code_examples - Find working code examples

Use Cases

  • Building headless Magento 2 storefronts with GraphQL
  • Progressive Web App (PWA) development
  • Mobile app integration with Magento backend
  • Third-party platform integration via GraphQL API

Technical Highlights

  • Framework: FastMCP
  • Database: SQLite FTS5
  • Parser: python-frontmatter + markdown-it-py
  • Validation: Pydantic data models

Magento 2 REST API MCP

OpenAPI-powered Magento REST API documentation server

MCP server providing offline access to complete Magento 2 REST API documentation parsed from OpenAPI 3.0 specifications with endpoint search, schema exploration, and category filtering.

v1.0.0 Python 3.10+
OpenAPI 3.0
Specification
Complete REST API
Coverage
2-5 seconds
Startup

Key Features

OpenAPI 3.0 Parser

Deterministic parsing of Magento's complete REST API specification

Endpoint Search

Full-text search with HTTP method and category filtering

Schema Explorer

Keyword-based searching and retrieval of complete data model definitions

Fast Startup

Optimized for quick initialization (2-5 seconds)

Smart Caching

Re-parses only when swagger.json changes

Structured Metadata

Access to complete OpenAPI metadata without HTML parsing

MCP Tools (5)

  • search_endpoints - Full-text search with filtering
  • get_endpoint_details - Complete endpoint documentation
  • list_tags - Hierarchical API category listing
  • search_schemas - Keyword-based model searching
  • get_schema - Full schema definition retrieval

Use Cases

  • REST API integration development and testing
  • Third-party connector development
  • API documentation for custom module development
  • Training developers on Magento API patterns

Technical Highlights

  • Framework: FastMCP
  • Database: SQLite3 with FTS5
  • Specification: OpenAPI 3.0
  • Package manager: uv or pip

Shopify Liquid MCP

Instant access to complete Shopify Liquid templating documentation

Specialized MCP server providing comprehensive offline documentation for Shopify's Liquid template language with 198 entries covering tags, filters, and objects optimized for theme development.

v1.0.0 Python 3.10+
198
Entries
30
Tags
101
Filters
67
Objects

Key Features

Sub-Millisecond Responses

SQLite FTS5 delivers instant search results for theme development

Complete Tag Reference

All 30 Liquid tags with syntax, parameters, and usage examples

Filter Library

101 filters organized by type with complete specifications

Object Properties

67 Liquid objects with all available properties documented

Customizable Documentation

Support for project-specific Liquid documentation additions

Wide IDE Support

Compatible with VS Code, Cursor, Zed, Claude Desktop, Continue.dev

MCP Tools (7)

  • search_liquid_docs() - Full-text documentation search
  • get_liquid_tag() - Retrieve specific tag documentation
  • get_liquid_filter() - Access filter specifications
  • get_liquid_object() - Query object properties
  • list_liquid_tags() - Browse all 30 tags by category
  • list_liquid_filters() - Explore 101 filters by type
  • list_liquid_objects() - View 67 available objects

Use Cases

  • Shopify theme development and customization
  • Template debugging and optimization
  • Learning Liquid syntax and best practices
  • Building custom Shopify theme frameworks

Technical Highlights

  • Framework: Model Context Protocol
  • Database: SQLite FTS5
  • Focus: Liquid templating (not broader Shopify API)
  • License: MIT

Voiceflow Documentation MCP

Multi-source documentation server for Voiceflow and Claude Code

Extensible MCP server enabling AI assistants to search and query Voiceflow platform documentation alongside Claude Code guides with BM25 relevance ranking and 194 indexed files.

v1.0.0 Python 3.10+
194
Total Files
182
Voiceflow Docs
12
Claude Docs
1.3 MB
Content Size

Key Features

Multi-Source Architecture

Extensible framework supporting documentation from multiple platforms

BM25 Relevance Ranking

Intelligent search results ranked by relevance for better accuracy

Automatic Indexing

Database indexing happens automatically on first run

Integrated Claude Code Docs

Voiceflow documentation alongside Claude Code guides in one interface

Web Scraping Capabilities

Built-in scraping with beautifulsoup4, httpx, and playwright

Community-Driven

Open-source project with MIT license, not officially affiliated

MCP Tools (6)

  • search_documentation - Full-text search with BM25 ranking
  • get_document - Retrieve specific documents by path
  • search_code_examples - Find code snippets and examples
  • list_categories - List available topics
  • get_integration_docs - Integration-specific guides
  • find_step_documentation - Step-by-step tutorials

Use Cases

  • Building Voiceflow conversational AI applications
  • Integrating Voiceflow with external systems
  • Training AI on Voiceflow platform capabilities
  • Developing custom Claude Code extensions

Technical Highlights

  • Framework: FastMCP
  • Database: SQLite FTS5
  • Scraping: beautifulsoup4 + playwright
  • Conversion: markdownify (HTML to Markdown)

Open Source Impact

5

MCP Servers

1,900+

Indexed Documents

27

MCP Tools

100%

Open Source

Why Use MCP Servers?

Lightning-Fast Development

Sub-millisecond search responses eliminate context-switching delays and accelerate development workflows

Offline-First Architecture

Zero network dependency means consistent performance and complete privacy for your development work

Context-Aware AI Assistance

Feed accurate, platform-specific documentation directly to AI assistants for better code suggestions

Production-Ready Quality

Battle-tested with comprehensive error handling, smart caching, and deterministic parsing

Developer Experience First

Simple installation, Docker support, and consistent API patterns across all servers

Truly Open Source

MIT licensed with transparent code, community contributions welcome, no vendor lock-in

How MCP Servers Work

Integrate AI-powered documentation access into your development workflow in minutes

1

Install via pip

Simple Python package installation with pip or uv package manager. All dependencies managed automatically.

2

Configure Claude Desktop

Add MCP server configuration to Claude Desktop's config file. Supports multiple servers simultaneously.

3

Index Documentation

First run automatically indexes all documentation into SQLite FTS5 database. Subsequent runs use cached data.

4

Query from Claude

Ask Claude platform-specific questions and get instant, accurate responses backed by official documentation.

5

Develop Faster

Build with confidence knowing AI suggestions are grounded in actual platform capabilities and best practices.

6

Customize & Extend

Add your own documentation sources, modify indexing logic, or contribute improvements back to the community.

Real-World Applications

How developers use MCP servers to accelerate AI-powered development

E-commerce Development

Build Magento, PrestaShop, or Shopify stores with instant access to complete API documentation and code examples

Headless Commerce

Develop PWAs and mobile apps using GraphQL APIs with schema-aware assistance from Claude

Conversational AI

Create Voiceflow applications with comprehensive platform knowledge and integration patterns

Theme Customization

Build Shopify themes faster with instant Liquid documentation lookup and filter reference

API Integrations

Connect systems using REST APIs with complete endpoint documentation and schema definitions

Developer Training

Onboard new team members with AI tutors backed by official platform documentation

Frequently Asked Questions

MCP is an open protocol developed by Anthropic that enables AI assistants to securely access external data sources and tools. MCP servers act as bridges between AI assistants like Claude and specific documentation, databases, or services.

No. All MCP servers operate completely offline with local SQLite databases. Your code and queries never leave your machine. This ensures privacy and consistent performance regardless of network conditions.

These servers work with any MCP-compatible client, including Claude Desktop, Claude Code, VS Code (with MCP extensions), Cursor, Zed Editor, and Continue.dev. The Model Context Protocol is an open standard.

Install via pip (e.g., 'pip install magento-graphql-docs-mcp'), then add the server configuration to your Claude Desktop config file. Each repository includes detailed installation instructions in the README.

Minimal. MCP servers use SQLite FTS5 for sub-millisecond search queries. Memory usage is typically under 50MB per server. First-run indexing takes 2-10 seconds depending on documentation size.

Yes! Claude Desktop and other MCP clients support multiple servers running concurrently. You can have PrestaShop, Magento, and Shopify servers all active at once.

Yes. All servers include comprehensive error handling, smart caching, automated testing, and Docker support. They're actively maintained and used in real-world development workflows.

All servers are open source with MIT licenses. Contributions are welcome via GitHub pull requests. For issues or feature requests, use GitHub Issues on the respective repository.

Yes. We offer commercial support packages and can develop custom MCP servers for proprietary platforms or internal documentation. Contact us for enterprise solutions.

Python offers excellent libraries for documentation parsing, web scraping, and SQLite FTS5 integration. FastMCP provides a mature framework for MCP protocol implementation. That said, the protocol is language-agnostic.

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