kabragaurav/MCP-Server-AI
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The Model Context Protocol (MCP) is a standardized method for LLMs to interact with external tools, execute actions, and access specialized knowledge.
The Model Context Protocol (MCP) is a framework introduced by Anthropic to enable large language models (LLMs) to interact seamlessly with external tools and systems. By standardizing the way LLMs request real-time information, execute actions, and access specialized knowledge, MCP enhances the capabilities of these models. It functions similarly to a USB hub, allowing for easy integration and reducing the risk of API breaking changes. Each MCP server is maintained by individual companies, such as Yahoo or Google, ensuring consistent and reliable performance. An MCP server typically exposes tools, resources, and prompts, facilitating a wide range of interactions and functionalities.
Features
- Standardized Interaction: MCP provides a uniform way for LLMs to interact with external systems, reducing complexity.
- Real-time Information Access: Models can request and receive real-time data from various sources.
- Action Execution: MCP allows models to perform actions in external systems, enhancing their utility.
- Specialized Knowledge Access: Models can tap into specialized databases and knowledge bases.
- API Stability: By standardizing interactions, MCP reduces the likelihood of API breaking changes.
Usages
usage with Cursor IDE
{
"mcpServers": {
"Gaurav Kabra's MCP Server": {
"command": "node",
"args": ["/Users/gauravkabra/Desktop/MCPServer/index.js"]
}
}
}
