MCPize
MCPize lets you discover and install premium MCP servers for AI agents, with publishers keeping 80% of revenue.

About MCPize
MCPize is a complete platform for Model Context Protocol (MCP) servers, designed to bridge the gap between AI agents and the tools they need to be truly useful. Think of it as the App Store for AI, but purpose-built for the new world of agentic workflows. At its core, MCPize is a vibrant marketplace featuring over 1,000 vetted MCP servers that integrate seamlessly with popular AI tools like Claude, Cursor, VS Code, Windsurf, and ChatGPT. Every single server on the platform undergoes a rigorous 7-dimension quality audit that checks for protocol compliance, OAuth security, reliability, and safety, so you never have to worry about plugging in a shady or broken tool. For developers, MCPize is a launchpad. You can publish and deploy a new MCP server in about 30 seconds using GitHub auto-deploy, and you get to keep 80 percent of every subscription dollar you earn. For users, it is a dream of simplicity. Instead of juggling a dozen different API keys and billing accounts, you get one unified API key, one consolidated bill, and one dashboard to track usage, costs, and set alerts. There is even a generous free tier that gives you 25,000 requests per month with no credit card required. Whether you are a solo developer building a niche tool or a large team looking to supercharge your AI workflows, MCPize provides the infrastructure, the audience, and the trust layer to make it all work.
Features of MCPize
Unified API Key and Billing
Say goodbye to the chaos of managing separate API keys and billing accounts for every single MCP server you use. MCPize gives you one unified API key that works across every paid server on the platform, plus a single consolidated monthly bill. This means you can explore and install new tools without ever worrying about vendor management headaches or surprise charges from forgotten subscriptions.
7-Dimension Quality Audit
Every MCP server listed on MCPize passes a rigorous 7-dimension quality audit before it ever reaches the marketplace. This audit checks for protocol compliance, OAuth security, reliability, and overall safety. You can browse and install servers with complete confidence, knowing that each one has been verified and tested to meet high standards. No more plugging in shady or broken tools that could compromise your workflow.
Rapid GitHub Auto-Deploy
For developers, MCPize transforms deployment from a tedious chore into a near-instant action. You can publish and deploy a new MCP server in about 30 seconds using the GitHub auto-deploy feature. This streamlined pipeline handles everything from code integration to live hosting, letting you focus on building great tools rather than wrestling with infrastructure. It is a launchpad for your ideas.
80% Revenue Share for Publishers
MCPize offers one of the most developer-friendly revenue models in the AI ecosystem. As a publisher, you keep 80 percent of every subscription dollar your server earns. This generous split rewards your creativity and hard work, making it financially viable to build niche tools or specialized servers. Combined with the platform's built-in audience of thousands of active users, it creates a powerful incentive to contribute.
Unified Usage Dashboard and Alerts
Keep complete control over your AI tooling costs with a single dashboard that tracks usage and spending across all your installed MCP servers. You can monitor request counts, see cost breakdowns by server, and set custom alerts to notify you when you approach budget thresholds. This visibility prevents bill shock and helps you optimize which tools you use and how often.
Generous Free Tier
MCPize welcomes new users with a generous free tier that gives you 25,000 requests per month with no credit card required. This allows you to explore the marketplace, test different servers, and build confidence in the platform before committing any payment. It is a risk-free way to discover what AI-powered tools can do for your workflows.
Use Cases of MCPize
Supercharging Your AI Coding Workflow
Developers using Claude, Cursor, or VS Code can instantly connect to specialized MCP servers that provide code review, debugging, refactoring, and CI/CD automation. Instead of switching between multiple tools and contexts, your AI assistant gains direct access to these capabilities. For example, the AI Senior Developer Assistant server can analyze project requirements, generate production-grade code, and manage GitHub workflows all from within your chat interface.
Integrating Local Payment Gateways
Businesses building e-commerce or fintech applications for specific markets can use MCPize to find and install servers that handle local payment processing. The Bangladesh Payment Orchestrator server, for instance, provides programmatic access to bKash and Nagad mobile financial services. You can initiate transactions, check payment statuses, and manage payouts without building complex integrations from scratch, all managed through a single API key.
Automating Digital Marketing Campaigns
Marketing teams and agencies can leverage MCP servers like Behemoth to transform their content creation and campaign management workflows. These servers bundle over 100 professional tools for SEO content generation, paid advertising, social media management, and brand development. Your AI assistant can generate high-converting ad copy, optimize email campaigns, and schedule social media posts, reducing hours of manual work to minutes of AI-powered precision.
Researching Social Media Trends and Audiences
Researchers, content creators, and social media managers can use MCP servers to analyze viral content, discover trending topics, and identify niche leaders on platforms like X (formerly Twitter). The mcp-x-intelligence server allows you to search for viral content, analyze any account's performance, and get trending topics by country, all from within Claude, Cursor, or any MCP-compatible AI agent. It is a read-only research powerhouse.
Frequently Asked Questions
What is the Model Context Protocol (MCP) and why does it matter?
MCP is an open protocol that standardizes how AI agents communicate with external tools and data sources. Think of it as an API designed specifically for AI agents. Instead of each AI tool needing custom integrations for every service it wants to use, MCP provides a universal language. MCPize builds on this by creating a marketplace where these MCP servers are discovered, vetted, and managed, making it easy for anyone to give their AI agent superpowers.
How does the 7-dimension quality audit actually work?
Every server submitted to MCPize is evaluated across seven specific dimensions: protocol compliance (does it follow MCP standards correctly?), OAuth security (are authentication flows safe and modern?), reliability (does it handle errors and downtime gracefully?), safety (does it avoid harmful behaviors?), performance (is it fast and efficient?), documentation quality (is it clear and usable?), and code quality (is the codebase well-structured?). Only servers that pass all seven checks are listed, giving you a trusted catalog.
Can I use MCPize with any AI tool or only specific ones?
MCPize works with any AI client that supports the Model Context Protocol. This includes major tools like Claude, Cursor, VS Code, Windsurf, Zed, and ChatGPT. The platform is designed to be client-agnostic, meaning you are not locked into a single ecosystem. As long as your AI assistant can connect to an MCP server, you can install and use any server from the MCPize marketplace.
What happens if I exceed the free tier of 25,000 requests per month?
If you exceed the free tier's 25,000 requests, you will need to upgrade to a paid plan to continue using the servers. The platform provides clear usage tracking and alerts in your dashboard so you can monitor your consumption. You can set custom budget alerts to notify you before you hit limits. Paid plans offer higher request caps and access to premium servers, with billing consolidated into a single monthly invoice.
How do I publish my own MCP server on MCPize?
Publishing a server is designed to be fast and simple. You start by connecting your GitHub repository to MCPize. The platform then handles auto-deployment, taking your code live in about 30 seconds. You set your subscription pricing, and MCPize takes care of billing, security audits, and customer management. You keep 80% of every subscription dollar earned, and your server immediately becomes discoverable to thousands of potential users in the marketplace.
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