The reference collection of Model Context Protocol servers - worth knowing now, since MCP is quickly becoming the standard way agents connect to real tools and data.
Where servers fits, based on its real tags and topics.
git clone https://github.com/modelcontextprotocol/servers.gitSee the repository's README for language-specific setup steps.
This repository is a collection of *reference implementations* for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources.
> [!IMPORTANT] > If you are looking for a list of MCP servers, you can browse published servers on the MCP Registry. The repository served by this README is dedicated to housing just the small number of reference servers maintained by the MCP steering group.
> [!WARNING] > The servers in this repository are intended as **reference implementations** to demonstrate MCP features and SDK usage. They are meant to serve as educational examples for developers building their own MCP servers, not as production-ready solutions. Developers should evaluate their own security requirements and implement appropriate safeguards based on their specific threat model and use case.
Category: 🤖 AI Agents
Difficulty: Intermediate
Part of: AI Agents Toolkit
“The default choice for production React today - server components, file-based routing, and first-class deployment story make it the fastest path from idea to shipped app.”
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
“A genuinely open-source Firebase alternative - real Postgres underneath, with auth, storage, and realtime built in rather than a proprietary database.”
“Utility-first CSS that's become the default styling approach for new projects - fast to write, easy to keep consistent, no dead CSS to prune later.”
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
“A fast, all-in-one vulnerability scanner - containers, filesystems, git repos, and Terraform/IaC misconfigurations all covered by one CLI tool.”
“The most widely adopted framework for chaining LLM calls, tools, and retrieval into real applications - a near-default starting point for RAG and agent projects.”
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
“The cleanest way to wire streaming LLM responses into a React/Next.js UI - handles the hard parts (streaming, tool calls, edge runtimes) so you don't have to.”
“The official, minimal-overhead client for OpenAI's API - the right starting point before reaching for a bigger framework.”
“The standard library for working with open-weight models - thousands of pretrained models are one line of code away.”
“One of the earliest serious multi-agent orchestration frameworks - useful once a single agent/chain isn't enough for the problem.”
“A lighter-weight take on multi-agent orchestration - agents get explicit roles and goals, which reads more naturally than raw chain composition.”
“The industry-standard container orchestrator - not always necessary at small scale, but the default assumption for any serious cloud-native platform team.”
“The most capable open-source relational database available - strong standards compliance, extensions for nearly everything (including full-text search and vectors), and a default choice for good reason.”
“Unifies dozens of LLM providers behind a single API, making model switching almost effortless in production.”
“The modern default frontend build tool - native ESM in dev means a dev server that starts and reloads almost instantly, even on large apps.”
“The open-source engine behind Docker - understanding containers here pays off no matter which orchestrator sits on top later.”
“The standard tool for infrastructure-as-code across every major cloud provider - one declarative language instead of provider-specific consoles or scripts.”
