What is MCP?
The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to large language models (LLMs). Think of MCP like a USB-C port for AI applications - just as USB-C provides a standardized way to connect your devices to various peripherals, MCP provides a standardized way to connect AI models to different data sources and tools. MCP helps you build agents and complex workflows on top of LLMs by providing:- A standardized way to connect AI models to data sources and tools
- The flexibility to switch between LLM providers and vendors
- Best practices for securing your data within your infrastructure
Key Features
- Structured Communication: Defines how applications should communicate with language models
- Context Management: Efficiently manages the limited context windows of LLMs
- Tool Integration: Standardizes how LLMs interact with external tools and functions
- Security: Helps prevent prompt injection attacks and unauthorized access
- State Management: Maintains conversation history and relevant context
Infactory MCP Integration
Infactory provides a TypeScript package for integrating with the Model Context Protocol:MCP SDK
@infactory/infactory-mcp
- Connect your applications to various LLMs through a standardized interface
- Provide structured context to enhance AI responses
- Integrate with Infactory’s data sources and tools
- Build agentic workflows with improved context management