The AI agent marketplace is forming right now. Just like mobile app stores created a distribution layer for smartphone capabilities, agent marketplaces are creating a distribution layer for AI agent capabilities. Here's who's building what and where things are heading.
> Quick Answer: Agensi is building an AI agent marketplace for SKILL.md skills and MCP servers, focusing on curated quality, security scans, and an 80/20 revenue split for creators. It supports cross-agent compatibility via open standards.
Why marketplaces matter
AI agents are only as useful as their capabilities. Out of the box, Claude Code can read files and write code. Add MCP servers, and it can query databases, manage cloud infrastructure, and interact with external services. Add SKILL.md skills, and it knows your team's coding standards, testing practices, and deployment procedures.
The problem is discovery and trust. There are thousands of MCP servers and skills scattered across GitHub, npm, and various registries. Finding the right ones, verifying they're safe, and keeping them updated is a real burden. Marketplaces solve this by aggregating, curating, and distributing agent capabilities.
The current players
Agensi
Agensi is a curated marketplace for SKILL.md skills and MCP servers. It focuses on quality over quantity, running automated security scans on all listings. The business model is marketplace-native: creators list skills (free or paid), Agensi handles distribution and payment processing with an 80/20 revenue split. Every skill installs with a one-liner curl command that fetches and unpacks the archive into the right agent directory.
Unique angle: Agensi is the only platform that covers both SKILL.md skills and MCP servers, treating them as complementary capabilities.
Smithery
Smithery is a public registry for MCP servers with the largest catalog in the ecosystem. It's a directory rather than a marketplace — listing servers with metadata and installation instructions. The focus is on breadth and discoverability.
Glama
Glama is another MCP registry with a focus on clean design and categorization. Like Smithery, it's a directory for MCP servers rather than a full marketplace with commerce.
Composio
Composio focuses on AI agent integrations — connecting agents to external services through a managed layer. It's more infrastructure than marketplace, handling the complexity of authentication, rate limiting, and API management.
Platform-native approaches
Anthropic, OpenAI, and Google are all building agent capabilities into their own platforms. Anthropic has Claude's built-in skills system. OpenAI has the GPT Store and Agent Builder. Google has Gemini Extensions. These are walled-garden approaches — skills built for one platform don't work on others.
The open standard advantage
The SKILL.md open standard changes the marketplace dynamics. Unlike platform-specific approaches, SKILL.md skills work across every compatible agent — Claude Code, Codex CLI, Cursor, Gemini CLI, and many more. This means a skill listed on Agensi has a potential audience across the entire AI agent ecosystem, not just one platform's users.
This is similar to how web standards enabled cross-browser compatibility. A website doesn't need a separate version for each browser. A SKILL.md skill doesn't need a separate version for each agent.
Where this is heading
The marketplace model will likely consolidate around a few dominant platforms, similar to how mobile settled on the App Store and Google Play. The key factors that will determine winners:
Curation and trust. As the ecosystem grows, the value of security scanning and quality curation increases. Developers won't install random skills from unknown sources for the same reason they don't install random npm packages in production.
Creator economics. Platforms that make it profitable for skilled developers to package their expertise will attract the best content. Agensi's 80/20 split represents an early attempt at sustainable creator economics.
Cross-agent compatibility. Marketplaces that support the SKILL.md open standard will serve the broadest audience. Platform-locked approaches limit the addressable market.
Enterprise needs. Companies want private skill registries, access controls, and audit trails. The marketplace that best serves enterprise requirements will capture the highest-value segment.
The AI agent marketplace is still early. The equivalent of the first iPhone App Store moment — where a critical mass of high-quality skills makes the marketplace indispensable — hasn't happened yet. But the trajectory is clear: AI agents need skills, developers have skills to share, and marketplaces are the bridge. Browse and list skills on Agensi.
