MCP server for Shopify Api
Alternatives
0 PH launches analyzed!
MCP server for Shopify Api
MCP | Shopify | Claude | Cursor | Anthropic
6
Problem
Shopify developers and merchants manually handle API interactions for products, customers, and orders, requiring time-consuming custom coding and maintenance.
Solution
A Shopify app (MCP Server) that automates API interactions via AI-generated code (Claude/Cursor), enabling users to manage Shopify data, create workflows, and integrate APIs without manual scripting.
Customers
Shopify developers and e-commerce merchants managing product catalogs, customer data, and order processing for online stores.
Unique Features
AI-driven code generation specifically optimized for Shopify API endpoints, reducing manual development time for data syncing and integrations.
User Comments
Simplifies Shopify API workflows
Saves development hours
Useful for non-coders
Streamlines data management
Requires Claude API access
Traction
Launched on ProductHunt (2023-10-26), exact revenue/user metrics unspecified but targets Shopify's ecosystem of 4M+ merchants and 28K+ app developers.
Market Size
Shopify’s merchant base generates $444B+ in GMV (2022), with 28,000+ developers building apps for its ecosystem.
ShareSeer Claude MCP
Access ShareSEER data from Claude
3
Problem
Users need financial data like SEC filings and insider transactions but currently manually search through SEC databases and compile insider transaction data, leading to time-consuming research processes and potential missed insights
Solution
A Claude AI plugin that lets users access SEC filings and insider transaction data directly within Claude via Market Currents Plug-in (MCP). Example: Ask Claude to 'Show recent Tesla insider trades' to instantly get structured data
Customers
Investment analysts, portfolio managers, and financial researchers who need real-time market data for decision-making (ages 28-45, working in finance firms)
Alternatives
View all ShareSeer Claude MCP alternatives →
Unique Features
First-ever SEC/insider data integration in Claude AI • Eliminates context switching between tools • Conversational data retrieval via MCP
User Comments
Saves hours of regulatory research • Makes Claude more powerful for investors • Intuitive natural language queries • Accurate parsed data formats • Essential for due diligence
Traction
Newly launched (2024 release) • Part of Market Currents Plug-in ecosystem with 50+ institutional clients • Founders have 4.8k X followers
Market Size
The global financial analytics market was valued at $9.54 billion in 2023 (MarketsandMarkets)
MCP Defender
MCP Defender automatically protects Cursor and other AI apps
120
Problem
Users manually monitor AI app traffic for security threats, which is time-consuming and prone to missing malicious activities
Solution
Desktop app that automatically monitors and protects MCP traffic across AI apps, enabling real-time alerts and manual blocking/approval of tool calls
Customers
Developers and IT security professionals working with AI apps like Cursor, Claude, VS Code, and Windsurf
Unique Features
Automatic cross-platform MCP traffic monitoring, customizable threat response, and integration with multiple AI development environments
User Comments
Crucial for AI app security
Simplifies threat detection
Lightweight but powerful
Needs more documentation
Essential for dev teams
Traction
Newly launched on ProductHunt (exact metrics unspecified)
Market Size
Global cybersecurity market projected to reach $200 billion by 2028 (Statista)
Problem
Developers and system administrators previously used basic MCP servers with SQLite storage and full-text search, facing limitations in scalability, performance, and advanced integration capabilities for complex projects.
Solution
npm-14 is a MCP server with SQLite storage and full-text search integrated with Claude Code, enabling enhanced data management, efficient querying, and seamless AI-powered code interactions for backend systems.
Customers
Backend developers, system architects, and DevOps engineers working on scalable applications requiring robust data storage and AI-driven code optimization.
Unique Features
Combines SQLite’s simplicity with Claude Code’s AI integration for real-time code suggestions and database optimizations in a unified MCP server environment.
User Comments
Simplifies SQLite-based deployments
Improves search efficiency
Claude Code integration boosts productivity
Lightweight yet powerful
Needs more documentation for advanced features
Traction
Launched on Product Hunt (exact metrics unspecified)
Targets niche developer tools market growing alongside AI adoption
Market Size
The global database management systems market is projected to reach $102.9 billion by 2027 (MarketsandMarkets, 2023), driven by AI integration demands.
Problem
Users struggle with finding and discovering MCP servers.
Need to explore various MCP servers to enhance AI capabilities.
Solution
A platform that provides a comprehensive collection of MCP servers.
Users can search and discover MCP servers, including Claude MCP integration, to enhance AI capabilities.
Customers
AI developers and tech enthusiasts looking to integrate and enhance their systems with MCP servers.
Individuals and businesses aiming to improve their AI and machine learning projects.
Unique Features
Largest collection of MCP Servers, including Claude MCP integration.
Enables enhanced AI capabilities through comprehensive server discovery.
User Comments
Users appreciate the extensive collection of MCP servers.
Positive feedback on the Claude MCP integration feature.
Helpful in enhancing AI capabilities.
Valued for its ease of discovering servers.
Described as a resourceful platform for AI developers.
Traction
As a newly launched product, specific traction metrics such as user numbers or revenue are not detailed.
Market Size
The global cloud server market is expected to reach $183.7 billion by 2026, providing context for the potential size of the market for MCP server collaboration platforms.
Claude 3.7 Sonnet and Claude Code
Claude 3.7 Sonnet and Claude Code AI that codes and reasons.
12
Problem
The current situation involves developers and data scientists facing the challenge of efficiently coding and reasoning tasks.
The drawbacks of this old situation include the need to manually handle complex code logic and reasoning issues, leading to increased development time and potential errors.
Solution
Claude 3.7 Sonnet and Claude Code is an AI tool.
Users can leverage this tool to perform hybrid reasoning for faster, accurate results and streamline developer tasks.
hybrid reasoning for faster, accurate results
Customers
Developers and data scientists looking to improve coding efficiency and reasoning capabilities in their projects.
Unique Features
Hybrid reasoning for enhanced speed and accuracy.
Integration with major cloud platforms.
Streamlines developer tasks with Claude Code.
User Comments
Users appreciate the fast and accurate results provided.
Positive feedback on improved coding efficiency.
Valued for streamlining complex developer tasks.
Some users express desire for more features.
Highly recommended for integration with existing projects.
Traction
Part of all plans and major cloud platforms.
Includes newly launched features like Claude Code.
Market Size
The global AI in coding market was valued at approximately $3.2 billion in 2022 and is expected to grow due to increased demand for AI tools that enhance coding efficiency and reasoning.
Google Analytics MCP
Connect Google Analytics with Claude via MCP
3
Problem
Users manually analyze Google Analytics 4 data, which is time-consuming and requires technical expertise to navigate complex interfaces and write custom queries.
Solution
A dashboard tool enabling users to query GA4 data in natural language via AI (e.g., Claude), providing instant insights on traffic, user behavior, and 200+ metrics without coding.
Customers
Digital marketers, data analysts, and product managers who need frequent, actionable insights from GA4 but lack advanced SQL or BigQuery skills.
Alternatives
View all Google Analytics MCP alternatives →
Unique Features
Seamless integration with Claude/Cursor, pre-configured access to 200+ GA4 dimensions/metrics, and AI-powered natural language query translation.
User Comments
Simplifies GA4 analysis
Saves hours on reporting
No-code access for non-technical users
Accurate AI-generated insights
Streamlines team collaboration
Traction
Newly launched on ProductHunt, supports GA4 integration and MCP clients. Exact user/revenue data unavailable from provided sources.
Market Size
The global digital analytics market was valued at $9.3 billion in 2023 (MarketsandMarkets).
Colada for Claude
Get past your Claude limits using your own Anthropic API Key
7
Problem
Users face limitations with Claude.ai's daily usage limits.
Running into Claude.ai's daily limits restricts continuous use and productivity.
Solution
A Chrome extension that helps overcome API restrictions.
Users can continue conversations by using their own Anthropic API key.
Customers
Tech-savvy individuals, developers, and productivity enthusiasts who utilize Claude.ai for continuous conversation without interruptions.
These users seek efficient tools to utilize AI capabilities without running into limits.
Alternatives
View all Colada for Claude alternatives →
Unique Features
Bypassing Claude.ai's daily limits through user-owned API keys.
Easy integration as a simple Chrome extension.
User Comments
Easy to set up and use.
Effectively bypasses daily limits.
Enhances productivity for regular Claude.ai users.
Requires users to be a bit tech-savvy.
Reliance on having an Anthropic API key.
Traction
Newly launched on ProductHunt.
Attracted attention as a problem-solver for Claude.ai users.
Specific traction or user numbers are not available.
Market Size
The global AI-driven assistant market is projected to reach $18.2 billion by 2025, growing at a 36% CAGR.
Problem
Users manually test and debug AI-generated code from tools like Cursor/Windsurf, which is time-consuming and error-prone due to hallucinations in code outputs.
Solution
A DevOps Assistant tool that automatically tests code generated by AI coding copilots and creates a feedback loop for improvement, e.g., validating outputs for errors before deployment.
Customers
Software developers and engineers using AI coding assistants (e.g., Cursor, Windsurf) who prioritize code accuracy and efficiency in workflows.
Alternatives
View all Basin MCP alternatives →
Unique Features
Focus on agentic MCP capabilities to iteratively test and refine AI-generated code, reducing hallucinations without manual intervention.
User Comments
Reduces debugging time for AI code
Seamless integration with existing copilots
Improves code reliability
Saves hours of manual testing
Essential for production-grade AI coding
Traction
Launched on ProductHunt in 2024, compatible with Cursor and Windsurf, part of the growing AI-enhanced DevOps tools market.
Market Size
The global AI in DevOps market is projected to reach $8.8 billion by 2028 (MarketsandMarkets, 2023).
MCP Router × MCP native AI agents
The MCP manager and long context MCP agent
3
Problem
Users currently manage MCP servers and AI agents manually or with limited tools, facing time-consuming setup, inefficient tool calls, and difficulty handling long-context tasks
Solution
AI agent management platform enabling users to build context-aware AI agents for MCP servers in minutes, with native optimization for multi-step tool calls and GitHub-deployed code
Customers
DevOps engineers, AI developers, and backend engineers managing enterprise MCP infrastructure needing automated agent deployment
Unique Features
Native integration with MCP toolchains, open-source agent architecture, and long-context processing capabilities up to 128k tokens
User Comments
Reduced deployment time from days to hours
Handles complex API chains better than single-purpose agents
GitHub integration simplifies customization
Requires technical MCP knowledge to implement
Limited documentation for edge cases
Traction
Launched 2023, 1.4k GitHub stars
Integrated with 12+ MCP platforms
Enterprise pricing starts at $999/mo
Market Size
The enterprise AI agent market is projected to reach $40 billion by 2028 according to Gartner