8 Role-Based AI Agents You Can Build Using MCP Servers

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A practical guide from DEV Community outlines how to build Model Context Protocol (MCP) agents tailored to specific workplace roles, including sales, marketing, support, and engineering. Each agent is defined by four core components: a language model, two to three MCP servers, a system prompt, and a write guardrail. The guide recommends a three-server limit per agent, as connecting more degrades tool-selection accuracy and consumes context window space. Server combinations vary by role — for example, sales agents pair HubSpot with Exa and Google Calendar, while engineering agents connect GitHub, Sentry, and Linear. A key safety rule emphasized throughout is that agents should propose write actions rather than execute them automatically, to prevent unintended changes to live data.

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