Agent Toolkit

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This project provides a comprehensive demonstration of leveraging AI agents, specifically using `smolagents`, to interact with a Multi-tool Control Protocol (MCP) server. It showcases both local tool execution within a GitHub Codespaces environment and integration with GitHub's new remote MCP server for cloud-based tool management. Furthermore, the toolkit illustrates how to host multiple tools from a single endpoint using `FastMCP` and how large language models (LLMs) powered by Ollama can intelligently select and utilize appropriate tools based on prompts, enabling dynamic and extensible agent capabilities.

Características Principales

• Enables multi-tool hosting from a single endpoint using FastMCP
• Supports GitHub’s Remote MCP Server for cloud-based tool management
• 0 GitHub stars
• Demonstrates intelligent tool selection by LLMs via Ollama
• Integrates with local MCP Inspector in GitHub Codespaces
• Provides examples for both CLI and chat-based agent interactions

Casos de Uso

• Developing and testing AI agents that leverage external tools
• Experimenting with local and cloud-based tool orchestration for agentic workflows
• Creating robust agentic applications requiring dynamic access to specialized functionalities