What is the Model Context Protocol (MCP)? - Model Context Protocol Documentation Index Fetch the complete documentation index at: /llms.txt Use this file to discover all available pages before exploring further. Skip to main content Model Context Protocol home page Version 2026-07-28 (latest) Search... ⌘ K Ask Assistant ⌘ I * Blog * GitHub Search... Navigation Get started What is the Model Context Protocol (MCP)? Documentation Specification Extensions Registry SEPs Community Get started * What is MCP? About MCP * Architecture * Servers * Clients * Versioning Develop with MCP * Connect to local MCP servers * Connect to remote MCP Servers * Build with Agent Skills * Build an MCP server * Clients * SDKs * Security Developer tools * Inspector * Debugging Examples * Example Servers On this page * What can MCP enable? * Why does MCP matter? * Broad ecosystem support * Start Building * Learn more Get started What is the Model Context Protocol (MCP)? Copy page Copy page Copy page Copy page 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 applications. Just as USB-C provides a standardized way to connect electronic devices, MCP provides a standardized way to connect AI applications to external systems. ​ What can MCP enable? * Agents can access your Google Calendar and Notion, acting as a more personalized AI assistant. * Claude Code can generate an entire web app using a Figma design. * Enterprise chatbots can connect to multiple databases across an organization, empowering users to analyze data using chat. * AI models can create 3D designs on Blender and print them out using a 3D printer. ​ Why does MCP matter? Depending on where you sit in the ecosystem, MCP can have a range of benefits. * Developers : MCP reduces development time and complexity when building, or integrating with, an AI application or agent. * AI applications or agents : MCP gives them access to an ecosystem of data sources, tools and apps, which enhances their capabilities and improves the end-user experience. * End-users : MCP results in more capable AI applications or agents that can access user data and take actions on the user’s behalf when necessary. ​ Broad ecosystem support MCP is an open protocol supported across a wide range of clients and servers. AI assistants like Claude and ChatGPT , development tools like Visual Studio Code , Cursor , MCPJam , and many others all support MCP — making it easy to build once and integrate everywhere. ​ Start Building Build servers Create MCP servers to expose your data and tools Build clients Develop applications that connect to MCP servers Build MCP Apps Build interactive apps that run inside AI clients ​ Learn more Understand concepts Learn the core concepts and architecture of MCP Was this page helpful? Yes No Architecture github Assistant Responses are generated using AI and may contain mistakes.