🚨 New course on MCP with Anthropic! In many LLM applications today, connecting to tools or external data sources still means writing custom logic for each integration. As more teams build with AI, this approach is slow and fragmented. The Model Context Protocol (MCP), developed by Anthropic, addresses this problem by introducing a shared standard. MCP defines how LLM applications can access tools, data, and prompts using a client-server architecture, making integrations easier to build, reuse,
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FacebookDeepLearning.AI
In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Cl
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In case you missed it, earlier this week we launched "MCP: Build Ri…
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