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model-context-protocol

Model Context Protocol (MCP) is an open standard that defines how AI applications connect to external tools, data sources, and services. MCP uses a client-server architecture where AI-powered applications (clients) communicate with lightweight programs (servers) that expose specific capabilities through a standardized interface.

MCP servers can provide tools (executable functions), resources (read-only data), and prompts (reusable templates). The protocol supports multiple transport mechanisms including stdio for local processes and HTTP with Server-Sent Events for remote connections.

The protocol was created by Anthropic and released as an open specification. It is supported by AI tools including Claude Code, Cursor, Codex, Windsurf, and Claude Desktop.

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Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

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High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

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Created by Anthropic

Released November 2024

Followers
845 followers
Website
github.com/topics/mcp

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