MCP Server Marketplace: 950+ AI Tools
MCPize hosts 950+ Model Context Protocol servers for AI assistants, automation, databases, and search. One-click install for Claude, Cursor, VS Code, and any MCP client. One subscription gives you a single API key across every paid server.
Smart Ecommerce Listing Optimizer
Delivers MCP-accessible functions to analyze and optimize ecommerce product listings for platforms like Amazon and Shopify. It evaluates listings for SEO gaps, readability, and conversion potential, then outputs revised titles, descriptions, bullet points, and keywords. Ecommerce sellers, marketplace managers, and developers automating catalog management use it to raise search rankings and sales.
Trading Journal Insights
Ingests trade logs from brokers and platforms to generate analytics on performance metrics, trading discipline, and coaching recommendations. Traders, portfolio managers, and financial coaches use it to upload logs via API, compute win rates, risk-adjusted returns, and behavioral insights for strategy refinement.
Social Campaign Intelligence
by The Zahid
Provides MCP access to social campaign reporting and trend signal analysis. Retrieves performance metrics like engagement and reach, and detects emerging patterns in social data. Used by marketers and data analysts to evaluate campaigns and forecast trends.
Offline Sync Engine
Offline Sync Engine MCP server manages data synchronization for offline applications by queuing local changes and applying them upon reconnection. It handles storage of pending operations and basic sync logic. Developers building mobile apps, PWAs, or desktop software use it to implement offline-first data handling without full backend dependency.
Ecom Margin Pricing
Computes profit margins, break-even points, and optimal pricing for e-commerce products using inputs like cost of goods, selling prices, discounts, and volumes. E-commerce developers and pricing analysts integrate these functions into AI models via MCP for automated financial analysis. Applications include real-time pricing adjustments and profitability forecasting.
Docker CI Lint
Runs docker-ci-lint to analyze Dockerfiles for syntax errors, best practices violations, and security issues within CI/CD pipelines. DevOps engineers and developers use it to validate configurations before building images, integrating via MCP for automated checks in GitHub Actions or Jenkins.
Shapley Attribution
Computes Shapley values to quantify feature contributions to machine learning model predictions. Supports exact and approximate attribution methods for black-box models. Data scientists and ML engineers use it to generate interpretable explanations in deployment pipelines.
SaaS Unit Economics
Computes SaaS unit economics metrics like LTV, CAC, payback period, and churn from inputs on revenue, costs, and customer cohorts. Supports scenario modeling for pricing and acquisition strategies. SaaS operators and financial analysts use it to assess model scalability and profitability.
npm-package-tracker-mcp
Fetches live npm package data including health metrics, download counts, and security advisories through MCP. Developers query package status to evaluate dependencies before use in projects. Package maintainers track their packages' performance and issues.
YouTube Title Thumbnail Optimizer
Generates optimized titles and thumbnail suggestions for YouTube videos based on SEO analysis and performance data. Analyzes keywords, trends, and viewer behavior to propose high-engagement alternatives. Content creators and marketers use it to increase video clicks and views programmatically.
config-lint-mcp
Config Lint lets DevOps engineers and developers validate YAML/JSON/JSONC files with lint_file, GitHub Actions workflows via validate_github_actions_workflow, and Docker Compose via validate_docker_compose schemas. Use detect_configs to scan directories and explain_diagnostics for concise error summaries with fixes. Integrate into CI/CD pipelines to catch syntax errors, schema violations, and custom policy issues before deployment.
WP Theme Audit
Audits WordPress themes to detect issues such as security vulnerabilities, performance problems, and code standard violations. Generates prioritized fix plans based on severity and impact. WordPress developers, theme creators, and site administrators use it for maintaining theme quality during development and updates.