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 : 25
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 typesSupports various React components, including search bars, forms, and buttons.
Generate standardized protocolConvert component metadata into a format that complies with the MCP standard to ensure cross - platform compatibility.
Flexible expansionSupports future expansion to other protocols to meet more business needs.
Advantages and Limitations
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 exampleAdd behavior descriptions to the search box so that AI can recognize its purpose.
Form submission exampleDefine 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.
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
833
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
146
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
93
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
570
5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
285
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
757
4.8 points