Model Context Protocol: A Developer's Guide
A comprehensive introduction to the Model Context Protocol (MCP) for Python developers, covering its principles, architecture, implementation of servers and clients, and its role in agentic workflows.
A comprehensive introduction to the Model Context Protocol (MCP) for Python developers, covering its principles, architecture, implementation of servers and clients, and its role in agentic workflows.
Explore the fascinating, and sometimes unsettling, inner workings of advanced AI models like Claude, revealing insights into planning, understanding, deception, and the challenges of AI explainability.
The MCP protocol, inspired by LSP, standardizes communication between AI applications and extensions, emphasizing model-driven invocation, user control, and three interaction types: tools, resources, and prompts. It utilizes JSON-RPC, complements OpenAPI, and focuses on stateful interactions and secure authorization.
An AI writing assistant bake-off reveals Claude as the winner, but highlights the limitations of AI in capturing human qualities like authenticity and emotional intelligence in emails and other written communications.
Anthropic's research unveils Claude's values through real-world interactions, using anonymized data to understand its alignment with 'helpful, honest, and harmless' principles, revealing contextual nuance and potential pitfalls in AI behavior.
Anthropic's 'Values in the Wild' explores Claude's moral framework, revealing how the AI model perceives and responds to human values, and tackles ethical considerations in AI interactions.
Anthropic's Claude AI is set to gain voice capabilities, putting it on par with other AI assistants like ChatGPT and Gemini. The initial release will support English with three voice options.
Explore Anthropic's Model Context Protocol (MCP), a universal standard aiming to connect AI systems seamlessly with data sources, tools, and APIs.
The Model Context Protocol (MCP) by Anthropic standardizes AI agent connections, unlocking smarter, context-aware AI by seamlessly integrating real-time data sources. It aims to solve AI integration complexities and foster innovation through open standards.
Unpacking the Model Context Protocol (MCP), an open standard by Anthropic, revolutionizing language model interaction with dynamic context.