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Everything about Model Context Protocol

Protocol for communicating between LLMs and applications

The Model Context Protocol (MCP) is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize the way artificial intelligence (AI) systems like large language models (LLMs) integrate and share data with external tools, systems, and data sources. MCP provides a standardized interface for reading files, executing functions, and handling contextual prompts. Following its announcement, the protocol was adopted by major AI providers, including OpenAI and Google DeepMind. In December 2025, Anthropic donated MCP to the Agentic AI Foundation, a fund under the Linux Foundation. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Model Context ProtocolA 5-minute orientation
  2. Skim a recent paper: LLM-enabled automation of CAD–structural analysis via Model Context ProtocolInfluential work since 2022
  3. Pick up a classic book: USB-C for AgentsThe most-reprinted book on the subject
  4. Read the landmark paper: Model Context Protocol (MCP): Landscape, Security Threats, and Future Research DirectionsCited 212 times
  5. Go sideways: LiteLLMA closely related topic
  6. Go sideways: Open WebUIA closely related topic

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🗂️ The subject at a glance

  1. Background
  2. Features
  3. Adoption
  4. Security risks and vulnerabilities
  5. Reception

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics