What is An Agent??
Meeting Scheduler Agent
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Goal Identification: The agent’s primary goal is to schedule the meeting.
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Decomposition & Planning: The agent breaks down the high-level goal into a series of steps:
- Access my calendar to see my availability.
- Access Jane Doe’s calendar to see her availability.
- Find a common 30-minute slot next week.
- Draft a meeting invitation with the title “Q3 Report Discussion.”
- Send the meeting invitation to both parties.
- Monitor for Jane’s acceptance. If declined, find a new slot.
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Tool Usage:
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It would use an API for your calendar (e.g., Google Calendar, Outlook) to check your free times.
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It would use a similar API to check Jane’s calendar.
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It would use an email or calendar API to send the invitation.
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State Management & Memory:
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The agent remembers the initial request and the constraints (30 minutes, next week).
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It keeps track of the steps it has completed.
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If Jane declines, it remembers the previously attempted time and looks for a different one.
_MCP ?? It gives AI agents a simple, standardized way to plug into tools, data, and services — no hacks, no hand-coding. Here is a look at how MCP works under the hood:
- MCP Host (on the left) is the AI-powered app — for example, Claude Desktop, an IDE, or another tool acting as an agent.
- The host connects to multiple MCP Servers, each one exposing a different tool or resource.
- Some servers access local resources (like a file system or database on your computer).
- Others can reach out to remote resources (like APIs or cloud services on the internet).