MCP Specification (8,869 Stars) Explained 2026
The MCP specification (8,869 stars) is the open standard behind the AI tool-connection boom. This guide explains its core concepts: clients, servers, tools, resources and prompts.
💡 What You Will Learn
The MCP specification (8,869 stars) is the open standard behind the AI tool-connection boom. This guide explains its core concepts: clients, servers, tools, resources and prompts.
📜 Table of Contents
The short answer
modelcontextprotocol/specification (8,869 stars, TypeScript) defines the Model Context Protocol (MCP) - an open standard that lets AI applications connect to external tools and data sources in a uniform way. Instead of every agent building its own integration for every tool, MCP standardizes the interface: one client, many servers.
Core concepts
| Concept | What it is | Example |
|---|---|---|
| Client | The AI app (Claude, Cursor, your app) | Claude Desktop |
| Server | Exposes tools/data to clients | GitHub server |
| Tool | An action the model can invoke | create_issue |
| Resource | Readable data the model can access | repo file contents |
| Prompt | Reusable prompt templates | code review template |
Why the standard matters
- One integration, many tools: build a client once, connect any server
- Vendor-neutral: works across Claude, Cursor, and other clients
- Capability negotiation: client and server agree on supported features at connect time
- Transports: JSON-RPC over stdio (local) or HTTP/SSE (remote)
Anatomy of a tool call
- Client discovers available tools from the server (JSON-RPC
tools/list). - The model decides which tool to call and with what arguments (
tools/call). - The server executes and returns structured results.
- The model incorporates the result into its reply.
Getting started
# Python SDK (23,897 stars)
pip install mcp
# TypeScript SDK (13,080 stars)
npm install @modelcontextprotocol/sdk
Both SDKs provide server and client helpers with the same protocol semantics, so you can pick your language and stay interoperable.
FAQ
Who maintains MCP? Anthropic created it; it is now developed openly with contributions from many companies.
Is it only for LLMs? It is designed for AI applications; any agentic software can use it.
Is it stable? The spec evolves with versioning; SDKs track the latest revisions and keep backward compatibility where possible.
❓ FAQ
Who maintains MCP?
Anthropic created it; it is now developed openly with contributions from many companies.
Is it only for LLMs?
It is designed for AI applications; any agentic software can use it.
Is it stable?
The spec evolves with versioning; SDKs track the latest revisions and keep backward compatibility where possible.
Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only โ no paid placements.