Understanding MCP
The Model Context Protocol (MCP) is a standardized communication protocol that enables AI systems to interact with external tools and services.
What is MCP?
Think of MCP as similar to a USB-C port: any compatible AI system can connect to any MCP server to access its functionality. This standardization eliminates the need to build custom integrations for each tool and service.
For example, Bob can use MCP to search a company database and generate a report without requiring specialized code for each database system.
Why use MCP?
MCP enables Bob to:
- Connect to both local and remote MCP servers
- Provide a consistent interface for accessing tools
- Extend functionality without core modifications
- Enable specialized capabilities on demand
How MCP works
MCP uses a client-server architecture:
- Bob (the client) connects to MCP servers
- Each server provides specific capabilities such as file access, database queries, or API integrations
- Bob uses these capabilities through a standardized interface
- Communication occurs via JSON-RPC 2.0 messages
Common questions
Protect your credentials: Never hardcode API keys, tokens, or other sensitive credentials directly in MCP configuration files. Instead:
- Use environment variables to store sensitive information
- Utilize secure credential stores or vaults
- Ensure MCP configuration files with credentials are not committed to source control
- Add configuration files containing secrets to your
.gitignore
Exposing credentials in configuration files can lead to unauthorized access and security breaches.