Anthropic's MCP server tutorial

The Model Context Protocol is a common language for letting an AI model ask outside software for help, and Tech-Insider published a Python walkthrough for building one on April 26. (tech-insider.org) Anthropic introduced the Model Context Protocol, or MCP, on November 25, 2024, as an open standard for connecting assistants to files, business tools, and developer systems. (anthropic.com) In plain terms, an MCP server is a small program that lists what tools or data it offers, and an MCP client is the app that asks to use them. The official MCP documentation describes clients connecting to servers for tools, resources, and workflows. (modelcontextprotocol.io) The Tech-Insider tutorial uses Python and FastMCP, a framework that lets developers expose a tool by writing a normal function and decorating it with `@mcp.tool`. FastMCP says it generates schema, validation, and documentation automatically. (tech-insider.org) (github.com) The official MCP “Build a server” guide uses the same FastMCP approach in Python, starting with `FastMCP("weather")` and then adding typed functions and docstrings. That matters because the model reads those definitions to understand what it can call. (modelcontextprotocol.io) Anthropic’s own tooling has moved beyond theory: Claude Code documentation says the coding assistant can connect to external tools and data sources through MCP servers. FastMCP also documents Anthropic Messages API support for remote MCP tool sources. (code.claude.com) (gofastmcp.com) That shifts the developer job from writing one-off integrations for each model vendor to running a server that multiple MCP-capable clients can reuse. The MCP project describes the protocol as an open-source standard rather than a Claude-only feature. (modelcontextprotocol.io) The tutorial’s timing fits a wider surge in MCP how-to material across developer sites in 2026, with examples focused on Claude Desktop, Cursor, Visual Studio Code, and custom Python clients. Those guides all teach the same basic pattern: define tools once, then attach them to whichever client speaks MCP. (thepythoncode.com) (freecodecamp.org) The practical questions now are less about whether MCP works and more about transport, authentication, and which clients support which parts of the spec. FastMCP says it handles transport negotiation and authentication plumbing for connected servers and clients. (github.com) So the story here is not just one tutorial. It is that Anthropic’s 2024 protocol has turned into a 2026 developer pattern: write a server, describe tools clearly, and let compatible AI clients do the calling. (anthropic.com) (modelcontextprotocol.io)