By combining AI model SDKs (e.g. OpenAI/Vercel AI) with MCP server connectivity, developers can quickly build intelligences that can handle complex tasks. Typical implementation modes include: calling the GitHub API to obtain warehouse data and then using GPT-4 to generate analysis reports; or completing the whole process of data acquisition-processing-visualization through the collaboration of multiple servers.The SDK provides a standard tool invocation interface and control flow management, which enables the AI agent to flexibly schedule various types of resources.
This answer comes from the articleToolSDK.ai: a free SDK to quickly connect AI tools to MCP serversThe
May not be reproduced without permission:AI productivity tools " AI agent development is one of the core application scenarios of ToolSDK.ai
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