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rhonchus    
n. 干晒音,鼾音,诊音

干晒音,鼾音,诊音

rhonchus
n 1: a sound like whistling or snoring that is heard with a
stethoscope during expiration as air passes through
obstructed channels


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  • Specification - Model Context Protocol
    Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need
  • Architecture - Model Context Protocol
    View the latest version (2025-11-25) The Model Context Protocol (MCP) follows a client-host-server architecture where each host can run multiple client instances This architecture enables users to integrate AI capabilities across applications while maintaining clear security boundaries and isolating concerns
  • Specification and documentation for the Model Context Protocol
    Check out our documentation website This repo contains the: MCP specification MCP protocol schema Official MCP documentation The schema is defined in TypeScript first, but made available as JSON Schema as well, for wider compatibility The official MCP documentation is built using Mintlify and available at modelcontextprotocol io
  • Specification – Model Context Protocol （MCP）
    2025-11-25 - Latest Stable OpenID Connect Discovery support Icons metadata for tools resources prompts Incremental scope consent URL mode elicitation support Sampling tool calling support OAuth Client ID metadata documents Experimental Tasks support 2025-06-18 - Stable Removed JSON-RPC batching support Structured tool output OAuth Resource Server classification Resource Indicators (RFC 8707
  • MCP Protocol and Architecture | modelcontextprotocol servers | DeepWiki
    MCP Protocol and Architecture Relevant source files Purpose and Scope This document explains the foundational architecture of the Model Context Protocol (MCP), including the server-client communication model, transport mechanisms, and the four core capability primitives (Tools, Resources, Prompts, Roots)
  • Introducing the Model Context Protocol \ Anthropic
    The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments Its aim is to help frontier models produce better, more relevant responses
  • Model Context Protocol (MCP) — Developer Specification (Version 2025-11)
    Model Context Protocol (MCP) — Developer Specification (Version 2025-11) Purpose: Provide a standard for connecting AI hosts (agents, IDEs, apps) to external tools, resources, and data with consistent discovery, invocation, and result-handling semantics
  • Developers Guide to the Model Context Protocol (MCP)
    The Model Context Protocol (MCP) is an open standard that provides a universal way to connect AI applications to external data sources and tools Created by Anthropic and released in November 2024, MCP solves a fundamental integration problem: before MCP, every AI application had to build custom code for each tool or data source it wanted to use
  • Learning Resources and Documentation - Model Context Protocol Belgium
    Protocol version 2025-11-25 (current) JSON-RPC 2 0 message structures Core primitives: Tools, Resources, Prompts Transport mechanisms and security considerations Getting Started Guides Official Quickstart Guide Step-by-step tutorial for building your first MCP server and understanding core concepts Anthropic's Introduction Blog Post
  • modelcontextprotocol modelcontextprotocol - DeepWiki
    The 2025-11-25 release introduced major features including task-based workflows (SEP-1686), simplified authorization via Client ID Metadata Documents (SEP-991), URL mode elicitation (SEP-1036), and sampling with tools for agentic servers (SEP-1577)
  • MCP (Model Context Protocol) Developer Guide: Build, Deploy Secure AI . . .
    Complete developer guide to the Model Context Protocol (MCP) Covers architecture, TypeScript Python server examples, client setup for Claude Cursor VS Code, spec 2025-11-25 updates (OAuth, elicitation, structured output), security best practices, and production deployment





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