How MCP works
- An MCP server exposes tools (actions) and resources (data) with descriptions.
- An AI application (the client) discovers those tools.
- The model decides when to call a tool; the client executes it and returns results.
Safe-use checklist
- Start read-only; add write tools only with human approval.
- Scope credentials per tool; keep secrets out of prompts.
- Filter personal data and respect consent and governance labels.
- Log tool calls and review them.
- Test with evaluation sets before production.
MarTech examples
Schema validation helpers, audience QA checks, documentation assistants and analytics question-answering over approved data views. See Agentic AI & MCP consulting.
Frequently asked questions
Is MCP secure by default?
No protocol is secure by default. Security depends on how servers, credentials, permissions and approvals are configured.
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