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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 AI appl

Purpose and Scope This document provides security considerations for the Model Context Protocol (MCP), complementing the MCP Authorization specification. This document identifies security risks, attack vectors, and best practices specific to MCP implementations. The primary audience for this document includes developers implementing MCP authorization flows, MCP server operators, and security profe

This document lists changes made to the Model Context Protocol (MCP) specification since the previous revision, 2025-03-26. Major changes Remove support for JSON-RPC batching (PR #416) Add support for structured tool output (PR #371) Classify MCP servers as OAuth Resource Servers, adding protected resource metadata to discover the corresponding Authorization server. (PR #338) Require MCP clients t

Purpose and Scope The Model Context Protocol provides authorization capabilities at the transport level, enabling MCP clients to make requests to restricted MCP servers on behalf of resource owners. This specification defines the authorization flow for HTTP-based transports. Protocol Requirements Authorization is OPTIONAL for MCP implementations. When supported: Implementations using an HTTP-based

This page showcases various Model Context Protocol (MCP) servers that demonstrate the protocol’s capabilities and versatility. These servers enable Large Language Models (LLMs) to securely access tools and data sources.

Get started building your own client that can integrate with all MCP servers. In this tutorial, you’ll learn how to build an LLM-powered chatbot client that connects to MCP servers. Before you begin, it helps to have gone through our Build an MCP Server tutorial so you can understand how clients and servers communicate.

This page provides an overview of applications that support the Model Context Protocol (MCP). Each client may support different MCP features, allowing for varying levels of integration with MCP servers. This list is maintained by the community. If you notice any inaccuracies or would like to update information about MCP support in your application, please submit a pull request or open an issue in

In this tutorial, we’ll build a simple MCP weather server and connect it to a host, Claude for Desktop. What we’ll be building We’ll build a server that exposes two tools: get_alerts and get_forecast. Then we’ll connect the server to an MCP host (in this case, Claude for Desktop):

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 AI appl

In this tutorial, we’ll build a simple MCP weather server and connect it to a host, Claude for Desktop. What we’ll be building We’ll build a server that exposes two tools: get_alerts and get_forecast. Then we’ll connect the server to an MCP host (in this case, Claude for Desktop):