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.
WooCommerce Store Manager
Exposes MCP tools for programmatic management of WooCommerce online stores, including products, orders, customers, and inventory. Developers integrate it for e-commerce automations; store admins use it to query and update store data via API calls. Real-world uses include order processing bots and product sync scripts.
Pricing Strategy
Exposes MCP endpoints for generating and optimizing pricing strategies from cost, demand, and competitor data. Computes dynamic prices and simulates revenue impacts. Revenue managers, e-commerce developers, and SaaS operators integrate it to automate pricing decisions via AI agents.
agent-window-logger-mcp
agent-window-logger-mcp helps AI developers log and analyze agent interactions. Record prompts, responses, and timestamps with log_agent_interaction; create chronological session documents via generate_session_doc; and query logs by keywords, dates, or sessions using search_logs.
Cost Guard
Tracks API call costs and enforces spending limits within MCP environments. It logs usage data, calculates expenses based on provider rates, and interrupts excessive calls to avoid overruns. Developers and AI engineers use it to manage budgets in tool-integrated workflows.
Inventory Pricing Optimizer
Inventory Pricing Optimizer MCP server computes optimal product prices using inventory levels, demand data, and cost inputs via optimization algorithms. It generates pricing recommendations to maximize revenue and reduce overstock. E-commerce developers and supply chain analysts integrate it for automated, real-time pricing in retail systems.
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.