Протокол MCP vs Function Calling
Model Context Protocol (MCP) vs traditional Function Calling compares two ways AI agents interact with databases, browsers, CRMs, and APIs. Function Calling requires custom glue code per integration, whereas MCP standardizes tool discovery and execution like USB-C for AI.
Head-to-Head Dimension Matrix
| Dimension | Протокол MCP | Function Calling |
|---|---|---|
| Cross-Client Reusability | Write an MCP server once (e.g., Postgres, Playwright, CRM) and use it immediately across Claude Code, Nomad Agent, and Cursor. | JSON schemas and execution handlers are tightly coupled to a single application codebase. |
| Context Window Efficiency | With lazy schema loading, the agent loads only the needed tool definition on demand, saving tens of thousands of tokens. | Passing 50–100 JSON tool schemas on every API turn bloats token cost and degrades selection accuracy. |
| Stateful Sessions & Resources | Maintains stateful sessions (like an open browser tab or DB connection), resources, and bidirectional notifications. | Stateless: the model only emits JSON arguments while your host app must manage state manually. |
| Prebuilt Connector Ecosystem | Thousands of ready-to-use open-source MCP servers attachable via a single config entry. | Every integration must be written, tested, and maintained inside your own backend. |
| Overhead on Simple Tasks | Ideal for multi-tool agents; complemented by lightweight CLI scripts for single-step tasks. | Simple and direct when an app only needs 2–3 fixed actions. |
Editorial Verdict: Which One to Pick
If your app only calls 2–3 fixed functions, standard Function Calling is fine. For full-scale autonomous agents in Claude Code or Nomad Agent orchestrating dozens of services, MCP with lazy loading is the industry standard.
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