Model Context Protocol

The Model Context Protocol is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize the way artificial intelligence systems like large language models 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. More at Wikipedia

Official site

modelcontextprotocol.io

Model Context Protocol

What is the Model Context Protocol (MCP)?

modelcontextprotocol.io/docs/getting-started/intro

MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. Using MCP, AI applications like Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, calculators) and workflows (e.g. specialized prompts)—enabling them to access key information and perform tasks. Think of MCP like a USB-C port for ...

Model Context Protocol - Wikipedia

en.wikipedia.org/wiki/Model_Context_Protocol

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. [1]

Model Context Protocol · GitHub

github.com/modelcontextprotocol

Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Learn how to use MCP with documentation, specification, SDKs, and servers on GitHub.

Introducing the Model Context Protocol \ Anthropic

www.anthropic.com/news/model-context-protocol

The Model Context Protocol (MCP) enables developers to build secure, two-way connections between their data sources and AI-powered tools. It simplifies and scales the process of connecting AI systems with data, improving their context awareness and relevance.

Specification - Model Context Protocol

modelcontextprotocol.io/specification/2025-03-26

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.

What is Model Context Protocol (MCP)? A guide | Google Cloud

cloud.google.com/discover/what-is-model-context-protocol

The Model Context Protocol (MCP) is an open standard designed to solve this. Introduced by Anthropic in November 2024, MCP provides a secure and standardized "language" for LLMs to communicate with external data, applications, and services.

The Complete Guide to Model Context Protocol

machinelearningmastery.com/the-complete-guide-to-model-context-protocol/

In this article, you will learn what the Model Context Protocol is, why it exists, and how it standardizes connecting language models to external data and tools.

MCP Docs - Model Context Protocol （MCP）

modelcontextprotocol.info/docs/

Welcome to the Model Context Protocol documentation! MCP is a standardized protocol designed to enhance the interaction between Large Language Models (LLMs) and applications by providing structured context management.

GitHub - modelcontextprotocol/modelcontextprotocol: Specification and ...

github.com/modelcontextprotocol/modelcontextprotocol

Model Context Protocol (MCP) Just heard of MCP and not sure where to start? 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.

Model Context Protocol (MCP) - GeeksforGeeks

www.geeksforgeeks.org/artificial-intelligence/model-context-protocol-mcp/

Model Context Protocol (MCP) is a standardized framework by Anthropic that enables AI models to connect with external tools and data sources, providing secure, scalable and real time access without custom integrations. Standardizes communication between AI systems and data sources. Enables real time access to up to date information.

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