explaingit

modelcontextprotocol/servers

🔥 Hot★ 85,152TypeScriptAudience · developerComplexity · 2/5ActiveSetup · easy

TLDR

Reference implementations of the Model Context Protocol, a standard for connecting AI assistants to tools and data sources. Includes working examples in multiple languages to learn from before building your own.

Mindmap

mindmap
  root((repo))
    What it does
      MCP protocol examples
      Connect AI to tools
      Secure integrations
    Reference servers
      Fetch web content
      File operations
      Git repositories
      Memory and knowledge
    Tech stack
      TypeScript
      Python
      Rust
      Multiple languages
    Use cases
      Learn the protocol
      Local testing
      Build custom servers

Things people build with this

USE CASE 1

Learn how to build an MCP server by studying working examples in your preferred language.

USE CASE 2

Set up a local test server to experiment with connecting AI assistants to files, databases, or web content.

USE CASE 3

Use the Filesystem or Git server as a starting point for your own custom MCP integration.

USE CASE 4

Understand the protocol's patterns for resources, tools, and prompts before writing production code.

Tech stack

TypeScriptPythonRustGoJavaC#RubySwift

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

This repository is a collection of reference implementations for the Model Context Protocol, abbreviated MCP. MCP is an open protocol that defines a standard way for Large Language Models (the AI systems behind chatbots and coding assistants) to securely connect to outside tools and data sources, such as files, databases, or external services. The repository's job is to give developers small, working examples that demonstrate how to build their own MCP servers using the official Software Development Kits, or SDKs, that exist for many languages including C#, Go, Java, Kotlin, PHP, Python, Ruby, Rust, Swift, and TypeScript. The reference servers are deliberately simple and educational, not production-ready. They include a test server called Everything that demonstrates prompts, resources, and tools; a Fetch server that pulls web content into a form a model can read; a Filesystem server that exposes secure file operations; a Git server that lets a model read and search git repositories; a Memory server that gives a model a persistent knowledge graph; a Sequential Thinking server that supports step-by-step reflective problem solving; and a Time server for handling time and timezone conversion. The README also points to a separate MCP Registry where users can browse community-built and official servers, and lists higher-level frameworks that make MCP server development faster. Use this if you are a developer who wants to learn the protocol from worked examples before writing your own MCP server, or you need a small running server for local testing. The README warns these examples are not hardened for production. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
Show me how the Fetch server in this repo works and explain how I'd modify it to pull data from a custom API instead of the web.
Prompt 2
I want to build an MCP server that connects Claude to my company's internal database. Which reference server should I start with and why?
Prompt 3
Walk me through the Everything test server example and explain what prompts, resources, and tools mean in the Model Context Protocol.
Prompt 4
How do I use the Memory server example to add persistent knowledge storage to my MCP integration?
Prompt 5
Set up the Filesystem server locally and show me how to test it with a simple file operation.
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