Awesome - MCP - ZH is a collection of MCP (Model Context Protocol) resources tailored for Chinese users, including basic introductions, usage guides, client, server, and community resources to help users quickly get started with MCP.

A tool for querying AWS cost data and Bedrock usage logs via the MCP protocol

An enhanced MCP server that supports intelligent retrieval, combination, and management of prompts from GitHub repositories, providing advanced search, real-time synchronization, and usage analysis functions.

MCP Linker is a tool that helps users quickly add Model Context Protocol servers to MCP clients. It supports clients such as Claude and Cursor and provides functions like one-click addition, favorites, and recent usage.

A simple MCP implementation based on the Talos SDK, used to obtain data from multiple Talos nodes, including disk, network interface, CPU, and memory usage, and supports restarting nodes.

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

CICADA is an MCP server that provides structured code indexing for AI code assistants. Through AST-level indexing, call site tracking, and semantic search, it provides efficient context compression for Elixir, Python, and Erlang code repositories, reducing token usage and improving the quality of code understanding.

This project is a research and documentation on the Model Context Protocol (MCP), including technical analysis, implementation solutions, usage guides, and other resources, aiming to comprehensively introduce the MCP ecosystem.

An MCP server based on Claude AI for optimizing programming prompts and enhancing the usage experience in AI IDEs such as Cursor.

The Unsloth MCP Server is a server for efficiently fine-tuning large language models. Through optimized algorithms and 4-bit quantization technology, it achieves a 2-fold increase in training speed and an 80% reduction in video memory usage, supporting multiple mainstream models.

An optimized MCP protocol web scraping server that significantly reduces the token usage of AI processing through server - side HTML to Markdown conversion and CSS selector filtering, providing efficient content extraction functions.

ApiFox MCP Server is an interface server based on the Model Context Protocol, used to obtain and manage ApiFox interface information. It supports both HTTP service and CLI command-line usage methods.

The project description shows how to configure Claude Desktop to integrate the Adfin MCP service, including installing the uv tool, modifying the configuration file, and usage examples.

An MCP server designed for the Prometheus database, supporting functions such as LLMs retrieving and analyzing metric data through tool functions, searching for metric usage, and executing complex queries.

A serverless implementation of the Model Context Protocol (MCP) based on AWS Lambda and SAM, providing two interfaces for system configuration and client usage.

An MCP server that can accurately calculate the number of characters, supporting multi - byte characters and multiple usage methods

A service based on the Model Context Protocol (MCP) that provides search, category browsing, and usage example functions for the Lucide React icon library, supporting AI coding assistants and proxy applications to access icon resources.

A TypeScript - based MCP server for file system editing tools, ported from the Anthropic computer usage demonstration.

The MCP Chain of Draft Prompt Tool is a tool that enhances the reasoning ability of LLMs. By converting standard prompts into Chain of Draft or Chain of Thought format, it significantly improves reasoning quality and reduces token usage.

An example application demonstrating how to integrate and use the ActionMCP gem in a Ruby on Rails project, including component definition and usage demonstrations.

The OpenAPITools SDK is a multi - AI platform tool management library that provides a unified interface to support the integration and execution of tools for models such as Claude, GPT, and LangChain, and supports both local and API usage modes.

Stata-MCP is a tool that uses large language models (LLM) to assist users in completing Stata regression analysis. It supports multiple languages and platforms and provides a comprehensive guide from installation to advanced usage.

Lookerctl is a comprehensive command - line tool for large - scale management and optimization of LookML. It provides functions such as local fast verification, usage analysis, dependency mapping, scientific testing, and AI integration, and supports the MCP server for use by AI agents.

An MCP server based on the NVIDIA USDCode API, providing an AI assistant tool for Isaac Sim script writing, USD operations, Python code snippets, and API usage assistance.

This project demonstrates the security risks of using AI agent tools through extendable-agents, especially the potential leakage of sensitive information caused by tool sharing under the MCP protocol, and provides security usage suggestions.

TokenScope is a token-aware directory exploration tool for large language models, providing intelligent directory structure analysis, token-aware file content extraction, token usage statistics, and comprehensive report generation functions.

Documentation library for the MCP Python SDK, providing documentation for the Python development toolkit of the Model Context Protocol (MCP), including usage guides and API references for the FastMCP server framework.

This project uses an optimized GitHub Actions workflow, designed for open-source projects, minimizing resource usage while maintaining quality. It includes functions such as rapid PR checks, a complete CI/CD pipeline, security scans, and automated releases.

Open Deep Research MCP Server is an AI - driven deep research assistant that conducts iterative deep research by combining search engines, web scraping, and AI technology to generate comprehensive reports. It supports two usage methods: MCP protocol and CLI, and has functions such as reliability assessment, scope control, and automatic generation of follow - up questions.

An MCP server implementing the Chain of Draft inference method, significantly reducing token usage while maintaining accuracy

Google Sheets MCP Server is a server-side application designed to simplify data management through the Google Sheets API, supporting read and write, real-time updates, and automated operations to enhance the Google Sheets usage experience.

The LicenseSpring MCP server implementation provides complete license management and customer operation functions, including license activation, customer management, usage tracking, etc., supporting multiple subscription levels and authentication methods.

The Tyler Forge™ MCP Server provides instant documentation access to the Tyler Technologies web component library for AI tools, supporting component query, code generation, API verification, and design system usage.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

A LinkedIn data crawler tool that supports various data extractions such as personal profiles, company information, and post searches. It provides three usage methods: Python library, command line, and MCP server, and has a built-in anti-detection mechanism.

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.

The React Icons MCP Server is a service that provides React Icons library information for AI programming tools, supporting functions such as icon search, detail retrieval, and usage example query.

The Notion MCP server is a middleware service that enables interaction between LLMs and the Notion workspace through the Notion API, supporting Markdown conversion to optimize token usage efficiency.

The 302AI Basic MCP Server is a toolkit that enhances the basic capabilities of large language models. It supports dynamically loading a list of remote tools, provides multiple usage modes (local stdin or remote HTTP service), and includes practical tools such as Wiki search, Arxiv search, calculator, and code execution.

usaspending - mcp is a modular computing platform server designed to help AI agents access and interact with the USAspending.gov API, providing tools for retrieving and analyzing US government spending data.