MCP Architecture Overview
MCP (Model Context Protocol) features a distributed architecture enabling AI applications to communicate seamlessly with multiple data sources and tools through standardized interfaces.
Core Components
The MCP architecture consists of three main components that work together:
-
The Host:
- Your AI application (e.g., IDE like Zed, VS Code, Cursor, Windsurf, Trae, etc.) this list seems to be growing really fast.
- Acts as the manager overseeing all connections
- Manages user interactions and permissions
-
MCP Clients:
- Dedicated communication handlers within the host
- Each client connects to one specific MCP server
- Manages the connection lifecycle and message routing
-
MCP Servers:
- Gateway to specific data sources or tools
- Examples include document stores, code repositories, databases
- Exposes capabilities using standardized MCP interfaces
Communication Protocol
MCP uses JSON-RPC 2.0 for structured communication between components:
Transport Types
-
Local Transport (stdio):
- Direct process communication
- Used for desktop apps and local development
-
Remote Transport (SSE/HTTP):
- Cloud-based deployment support
- Works through firewalls and across internet
- Enables web-based AI agent access
- Compatible with modern cloud platforms
Core Primitives
MCP defines three fundamental types of interactions:
-
Resources:
- Structured data (code, documents, query results)
- Application-controlled access
- Provides factual context to AI models
- Read-only information exchange
-
Prompts:
- Pre-defined instruction templates
- User-initiated usage
- Standardizes common operations
- Examples: code styles, documentation formats
-
Tools:
- Action-oriented capabilities
- AI model-initiated, user-authorized
- Performs concrete operations
- Examples: database queries, API calls
For detailed instructions on implementing MCP in your application, see the MCP Implementation Guide.
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