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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
Reference implementations These official reference servers demonstrate core MCP features and SDK usage: Data and file systems Filesystem - Secure file operations with configurable access controls PostgreSQL - Read-only database access with schema inspection capabilities SQLite - Database interaction and business intelligence features Google Drive - File access and search capabilities for Google Dr
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. It helps to have gone through the Server quickstart that guides you through the basics of building your first server.
Speed up your MCP development using LLMs such as Claude! This guide will help you use LLMs to help you build custom Model Context Protocol (MCP) servers and clients. We’ll be focusing on Claude for this tutorial, but you can do this with any frontier LLM. Preparing the documentation Before starting, gather the necessary documentation to help Claude understand MCP: Visit https://modelcontextprotoco
5ire 5ire is an open source cross-platform desktop AI assistant that supports tools through MCP servers. Key features: Built-in MCP servers can be quickly enabled and disabled. Users can add more servers by modifying the configuration file. It is open-source and user-friendly, suitable for beginners. Future support for MCP will be continuously improved. AgentAI AgentAI is a Rust library designed t
In this tutorial, you will extend Claude for Desktop so that it can read from your computer’s file system, write new files, move files, and even search files. Don’t worry — it will ask you for your permission before executing these actions! 1. Download Claude for Desktop Start by downloading Claude for Desktop, choosing either macOS or Windows. (Linux is not yet supported for Claude for Desktop.)
Get started building your own server to use in Claude for Desktop and other clients. In this tutorial, we’ll build a simple MCP weather server and connect it to a host, Claude for Desktop. We’ll start with a basic setup, and then progress to more complex use cases. What we’ll be building Many LLMs do not currently have the ability to fetch the forecast and severe weather alerts. Let’s use MCP to s
The Model Context Protocol is rapidly evolving. This page outlines our current thinking on key priorities and future direction for the first half of 2025, though these may change significantly as the project develops. The ideas presented here are not commitments—we may solve these challenges differently than described, or some may not materialize at all. This is also not an exhaustive list; we may
MCP is an open protocol that standardizes how applications provide context to large language models (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. MCP enables you build agents and complex wor
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