What is MCP
MCP (Model Context Protocol) is an open standard for interaction between AI agents and external tools or data sources. It enables you to connect compatible MCP servers to various agents without setting up a custom integration for each of them individually.
MCP employs the client-server architecture:
- MCP client in the AI agent connects to the MCP server.
- Each server provides some features: file access, database queries, API integration.
- Agent makes use of these features via a standardized interface.
- The communication takes place via JSON-RPC 2.0 messages.
For example, with MCP, an AI agent can find data within an internal database and generate a report on it without a separate integration with each system.
FAQ
Is MCP a cloud service?
MCP servers can operate locally on your computer or remotely as cloud services depending on your application requirements and security needs.
Does MCP replace other integration methods?
No. MCP complements your existing tools, such as API plugins and retrieval-augmented generation. It is a standardized protocol for interaction with tools; however, it does not replace specialized integration mechanisms.
How is security guaranteed?
Users have control over which MCP servers they connect to and the permissions these servers have. Same as with any tool with access to data or services, you must use trusted sources and have proper access control measures in place.
MCP in AI agents
AI agents use MCP for the following tasks:
- Connection to both local and remote MCP servers.
- Access to various tools via a single interface.
- Integrating new tools without modifying the agent.
- Access to specialized features on demand.
MCP provides a unified interface for AI agents to interact with external tools and services.