What Is Model Context Protocol?
Model Context Protocol, often called MCP, is an open protocol for connecting AI applications to tools, data sources, and external systems. It gives assistants a standard way to access context and actions without every integration being custom-built from scratch.
MCP has become important for agentic workflows because it lets AI clients plug into servers for files, databases, browsers, APIs, and other capabilities.
Key Features of Model Context Protocol
- Open standard for AI tool and data integrations.
- Client-server architecture for reusable connectors.
- Supports resources, prompts, tools, and structured context.
- Useful for AI agents, coding assistants, and desktop AI apps.
- Growing ecosystem of MCP servers and clients.
Who Should Use Model Context Protocol?
MCP is useful for AI developers, platform teams, automation builders, and power users who want assistants to work with real tools and live data.
Model Context Protocol Pricing
MCP itself is an open protocol. Costs depend on the clients, servers, APIs, and hosted services used in a specific setup.