Awesome MCP Registry

The Awesome MCP Registry is a high - quality, structured list of MCP servers, containing over 63 MCP servers covering multiple domains such as browser automation, cloud platforms, databases, and developer tools. The project generates README.md, npm packages, and packages - list.json through JSON configuration files, and can be used as a database for MCP servers and packages to build your own MCP projects and hosting sites.

Developer tools Database #MCP Server #Developer Tools #Database #Browser Automation .TypeScript

rating : 2.5 points

downloads : 38

update time : 2025-04-28

What is an MCP Server?

The MCP server provides a standard interface for AI models to interact with external tools and services. Through a standardized protocol, the MCP server allows AI agents to perform various tasks, from data retrieval to automated operations.

Why Use MCP?

MCP unifies the way AI agents interact with external services, improving scalability, interoperability, and security. Through standardized interfaces, developers can more easily integrate multiple services and ensure compatibility between different tools.

Standardized InterfaceThe unified protocol enables seamless interaction between different services.

ScalabilitySupports multiple types of services and tools, facilitating feature expansion.

SecurityEnsure the security of data and operations through authentication and authorization mechanisms.

Install the npm Package

Configure the Service

Write Scripts

How to install the MCP server?

Which operating systems are supported?

🚀 Awesome MCP

This project aggregates high - quality open - source projects and tools in multiple technology fields, providing users with a one - stop resource platform.

🚀 Quick Start

This README provides an overview of various awesome projects across different technology domains. You can click on the provided GitHub links to access the relevant repositories.

✨ Features

AI and Machine Learning

Awesome LLM: GitHub - Offers an aggregated resource library and documentation for large language models (LLMs), covering aspects such as training, tuning, and deployment.
Awesome RAG: GitHub - Focuses on a collection of open - source projects related to Retrieval - Augmented Generation (RAG) technology, including text - to - document retrieval and question - answering systems.

Development Tools

Awesome Python: GitHub - Integrates numerous excellent tools, libraries, and resources related to Python development.
Awesome TypeScript: GitHub - Provides a wealth of TypeScript resources, covering language features, tools, and best practices.

Data Processing and Analysis

Awesome Data Science: GitHub - Brings together top - notch open - source projects and practical resources in the field of data science.
Awesome EDA: GitHub - Focuses on tools and techniques for exploratory data analysis (EDA), helping users gain in - depth understanding of data.

Technical Infrastructure

Awesome Infrastructure: GitHub - Integrates high - quality resources related to cloud - native, DevOps, and infrastructure automation.
Awesome Cloud: GitHub - Offers best practices and tools in the field of cloud computing, covering containerization, microservices, etc.

Project Management and Collaboration

Awesome Project Management: GitHub - Integrates open - source tools and resource libraries related to project management.
Awesome Collaboration: GitHub - Provides practical tools and technologies for team collaboration, including code review, task tracking, etc.

Other Resources

Awesome Lists: GitHub - Aggregates excellent resource lists in various fields.
Awesome Everything: GitHub - Offers a curated collection of open - source projects on a wide range of technical and non - technical topics.