mcp-server-with-semantic-kernel

What is mcp-server-with-semantic-kernel?

The mcp-server-with-semantic-kernel project focuses on building Semantic Kernel Agents using Model Context Protocol (MCP) plugins in Python. It enables developers to create AI agents that can communicate, perform tasks, and learn from interactions.

How to use mcp-server-with-semantic-kernel?

To use this project, developers can integrate the Semantic Kernel toolkit with MCP plugins in their Python applications, allowing for the creation of intelligent agents that can handle various tasks.

Key features of mcp-server-with-semantic-kernel?

• Integration of Semantic Kernel with MCP for building AI agents.
• Ability to create plugins for various functionalities (e.g., calendar, email).
• Supports real-time communication methods like Server-Sent Events (SSE) and standard input/output (stdio).

Use cases of mcp-server-with-semantic-kernel?

1. Developing a virtual assistant that can manage calendars and emails.
2. Creating AI agents that can summarize documents and provide real-time updates.
3. Building interactive applications that require AI-driven decision-making.

FAQ from mcp-server-with-semantic-kernel?

• What is Semantic Kernel?

Semantic Kernel is an open-source toolkit by Microsoft for building AI agents that can think, talk, and act.

• How does MCP work with Semantic Kernel?

MCP serves as a protocol that allows AI agents to communicate with various tools seamlessly.

• Can I create my own plugins?

Yes! Developers can create custom plugins to extend the functionality of their AI agents.