What does Agentify Components do?
It adds a semantic layer to React components so that AI agents can understand their purpose, behavior, and data handling without changing component functionality.
@anvosio
Basic information
These are the components that a user can download to create MCP servers on the fly
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Agentify Components is a framework that adds semantic metadata to React components, making them “agent-aware” for AI systems and automation tools. It integrates with the Model Context Protocol (MCP) to generate a runnable MCP server from annotated components, enabling AI assistants to understand and interact with UI elements.
Install via npm install @anvosio/agentify-components. Annotate React components using the @AgentConfig decorator, the withAgentConfig HOC, or a direct agentConfig property. Create a generate.ts script that calls generateMCPServer(componentList, './mcpServer'), then run npm run build:mcp to produce the MCP server; npm run deploy:mcp publishes it.
It adds a semantic layer to React components so that AI agents can understand their purpose, behavior, and data handling without changing component functionality.
Search bars, forms, and buttons are supported. Currently, behaviors are limited to API and navigation actions.
Use the `@AgentConfig` decorator for class components, the `withAgentConfig` HOC for functional components, or assign an `agentConfig` property directly to a functional component.
Add a `generate.ts` script that imports your components and calls `generateMCPServer(componentList, './mcpServer')`. Run `npm run build:mcp` to generate the server files.
No. Functional components can be annotated using the HOC (`withAgentConfig`) or the direct property assignment pattern.

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