Agentify Components
Agentify Components is a framework for adding semantic metadata to React components, enabling AI systems and automation tools to understand component functions. It adds standardized descriptions to components through decorators and generates MCP server configurations to enable interaction between components and AI models.
rating : 2.5 points
downloads : 4.5K
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard for connecting AI models with external data sources and tools. Through a client - server architecture, it allows AI assistants to access real - time data (such as Google Drive, Slack, or databases), thereby enhancing their responsiveness and providing up - to - date context information.How to use the MCP server?
Add semantic metadata to React components through the Agentify framework and generate a standardized MCP server. This enables AI systems to better understand and interact with your application.Use cases
The MCP server is well - suited for applications that require deep integration with AI systems, such as customer service chatbots and automated process management tools.Key Features
Support for multiple component types
Supports various React components, including search bars, forms, and buttons.
Generate standardized protocol
Convert component metadata into a format that complies with the MCP standard to ensure cross - platform compatibility.
Flexible expansion
Supports future expansion to other protocols to meet more business needs.
Advantages
Simplify the integration process of AI and web applications.
Improve the context awareness of AI systems.
Unified data connection method reduces redundant development work.
Limitations
Requires a certain technical background for setup and maintenance.
Currently only supports the definition of API and navigation behaviors.
How to Use
Install dependencies
Run the following command to install the Agentify Components package: `npm install @anvos/agentify - components`.
Define components
Use the `@AgentConfig` decorator on React components to add metadata.
Generate the MCP server
Create a `generate.ts` file and call the `generateMCPServer` function.
Deploy the server
Add scripts to `package.json` and execute the generation command.
Usage Examples
Search bar example
Add behavior descriptions to the search box so that AI can recognize its purpose.
Form submission example
Define the behavior and fields of the login form to facilitate AI understanding of its function.
Frequently Asked Questions
Does the MCP server support custom protocols?
How to verify that the generated MCP server is working properly?
Can the MCP server be used in an existing project?
Related Resources
Official Documentation
Get detailed setup guides and technical documentation.
GitHub Code Repository
View the source code and contribute to the project.
Product Requirements Document
Understand the full specifications and roadmap of the project.

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