app.title

Model Context Protocol (MCP)

Technology

Stands for Model Context Protocol, a new standard developed by Anthropic and adopted by OpenAI designed to make it easier for LLMs to interact with external applications and services, which is crucial for the development of AI agents.

entitydetail.created_at

7/22/2025, 5:57:40 AM

entitydetail.last_updated

7/22/2025, 5:59:52 AM

entitydetail.research_retrieved

7/22/2025, 5:59:52 AM

Summary

The Model Context Protocol (MCP) is an open standard, open-source framework introduced by Anthropic in November 2024. It aims to standardize how artificial intelligence systems, particularly large language models (LLMs), integrate and share data with external tools, systems, and data sources. Functioning like a "USB-C port for AI applications," MCP provides a universal interface for tasks such as reading files, executing functions, and handling contextual prompts. Its adoption by major AI providers like OpenAI and Google DeepMind is considered pivotal for enabling AI agents to manage complex projects, build composable integrations, and unlock new economic opportunities.

Referenced in 1 Document
Research Data
Extracted Attributes
  • Type

    Open Standard, Open-Source Framework

  • Analogy

    USB-C port for AI applications

  • Purpose

    Standardize AI system interaction with external data and tools

  • Architecture

    Client-server architecture

  • Functionality

    Provides universal interface for reading files, executing functions, and handling contextual prompts

Timeline
  • Model Context Protocol (MCP) introduced by Anthropic. (Source: initial summary, Wikipedia)

    2024-11

  • Model Context Protocol (MCP) adopted by major AI providers including OpenAI and Google DeepMind. (Source: initial summary, Wikipedia)

    2024-11

Wikipedia
View on Wikipedia
Model Context Protocol

The Model Context Protocol (MCP) is an open standard, 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 universal 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.

Web Search Results
  • 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.This specification defines the authoritative protocol requirements, based on the TypeScript schema in schema.ts.For implementation guides and examples, visit [...] Overview -------------------------------------------------------------------------------- MCP provides a standardized way for applications to: Share contextual information with language models Expose tools and capabilities to AI systems Build composable integrations and workflows [...] Security and Trust & Safety ------------------------------------------------------------------------------------------------------------------------ The Model Context Protocol enables powerful capabilities through arbitrary data access and code execution paths. With this power comes important security and trust considerations that all implementors must carefully address. ### ​ Key Principles

  • Model Context Protocol - Wikipedia

    The Model Context Protocol (MCP) is an open standard, open-sourceframework 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 universal 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 [...] MCP defines a standardized framework for integrating AI systems with external data sources and tools.( It includes specifications for data ingestion and transformation "Data transformation (computing)"), contextual metadatatagging "Tag (metadata)"), and AI interoperability across different platforms. The protocol also supports secure, bidirectional connections between data sources and AI-powered tools.( [...] MCP enables developers to expose their data via MCP servers or to develop AI applications—referred to as MCP clients—that connect to these servers.( Key components of the protocol include a formal protocol specification and software development kits (SDKs), local MCP server support in Claude "Claude (language model)") Desktop applications, and an open-source repository "Repository (version control)") of MCP server implementations.( Applications ------------ [edit]

  • Model Context Protocol (MCP): Understanding security risks and ...

    Model Context Protocol (MCP) is a powerful protocol fromAnthropic that defines how to connect large language models (LLMs) to external tools. It has quickly gained traction due to its ease of use and the benefits it adds in our use of AI. In this article we'll cover some of the potential security risks you'll encounter with MCP and how you can approach mitigating them. How MCP works ------------- [...] Red Hat is an open hybrid cloud technology leader, delivering a consistent, comprehensive foundation for transformative IT and artificial intelligence (AI) applications in the enterprise. As a trusted adviser to the Fortune 500, Red Hat offers cloud, developer, Linux, automation, and application platform technologies, as well as award-winning services.

  • What is Model Context Protocol (MCP)? - IBM

    Anna Gutowska AI Engineer, Developer Advocate IBM The Model Context Protocol (MCP) serves as a standardization layer for AI applications to communicate effectively with external services such as tools, databases and predefined templates. [...] These impediments can be remedied with the Model Context Protocol (MCP). MCP allows AI agents to be context-aware while complying with a standardized protocol for tool integration. [...] MCP represents an evolving approach to LLM tool integration that continues to mature and reshape the space over time.As technical challenges arise and MCP servers evolve, the standard adapts and MCPs continue to improve.

  • Model Context Protocol: Introduction

    Get started with the Model Context Protocol (MCP) MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. ​ Why MCP? ---------------------------------------------------------- [...] At its core, MCP follows a client-server architecture where a host application can connect to multiple servers: MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP MCP Clients: Protocol clients that maintain 1:1 connections with servers MCP Servers: Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol [...] MCP helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides: A growing list of pre-built integrations that your LLM can directly plug into The flexibility to switch between LLM providers and vendors Best practices for securing your data within your infrastructure ### ​ General architecture