The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.

The Kubectl MCP Tool is a Kubernetes interaction tool based on the Model Context Protocol (MCP), allowing AI assistants to interact with Kubernetes clusters using natural language.

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.

A Redis database operation service based on the Model Context Protocol, providing various Redis command tools

Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.

The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.

The HOPX MCP server is a service based on the model context protocol that allows AI assistants to execute Python, JavaScript, Bash, and Go code in isolated cloud containers, supporting data analysis and file operations.

A software development planning tool based on the Model Context Protocol (MCP), which provides functions for task breakdown, progress tracking, and development plan management to help teams efficiently plan software development projects.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

The Xcode MCP Server is a server based on the Model Context Protocol, providing comprehensive Xcode integration capabilities for AI assistants, including project management, file operations, build testing, CocoaPods and Swift package management, and iOS simulator tools.

A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

AWS MCP is a service based on the Model Context Protocol that allows querying and managing AWS resources through natural language, similar to an alternative to Amazon Q.

LYRAIOS is a multi-AI agent operating system based on the Model Context Protocol (MCP), aiming to extend AI application functions by connecting financial networks and public blockchain chains, providing services such as blockchain operations, fintech analysis, and educational learning.

XiYan MCP Server is a Model Context Protocol server based on XiYan - SQL, which supports querying databases through natural language, provides multiple LLM model configurations and database connection methods, and is suitable for local or remote deployment.

Lokka is a server based on the Model - Context - Protocol (MCP) for querying and managing Azure and Microsoft 365 tenants by operating Microsoft Graph and Azure RM APIs through natural language.

The AWS MCP Server is a server implementation based on the Model Context Protocol that supports operations on AWS's S3 and DynamoDB services. All operations are automatically recorded and can be audited.

The Figma MCP Server is a service based on the Model Context Protocol that enables AI assistants to directly interact with Figma files, providing functions for viewing, commenting on, and analyzing designs.

The Naver MCP Server is an implementation of the Naver OpenAPI service based on the Model Context Protocol (MCP), providing interaction tools for multiple Naver services.

This project provides a series of Model Context Protocol servers based on Quarkus/Java to extend the capabilities of MCP-enabled LLM applications, including various services such as JDBC database interaction, JVM monitoring, and file system operations.

This project is a server - side implementation based on the Model Context Protocol (MCP), providing seamless integration with the Milvus vector database and enabling multiple LLM applications such as Claude Desktop and Cursor to access database functions through a standardized protocol.

The Semgrep MCP Server is a server based on the Model Context Protocol (MCP) for scanning code for security vulnerabilities through Semgrep, supporting multiple integration methods and tools.

The Figma MCP Server is a middleware based on the Model Context Protocol (MCP), providing Figma API integration services for clients such as Claude, and supporting design system management and file operations.

Office-Word-MCP-Server is a server based on the Model Context Protocol that provides a standard interface for AI assistants to create, read, and operate Microsoft Word documents, supporting rich document editing functions.

The MCP Text Editor Server is a text file editing service based on the Model Context Protocol, providing line-oriented text file operation capabilities and supporting efficient partial file access to reduce token consumption for LLM tools. It has features such as concurrent editing detection, multi-file atomic operations, and support for multiple encodings.

The Notion MCP Server is a server implementation based on the Model Context Protocol (MCP) that allows AI assistants to interact with the Notion API through natural language, providing a complete set of tools and endpoints to read, create, and modify Notion content.

MCP Appium is an intelligent mobile automation server based on the model context protocol, providing cross - platform mobile app testing tools for AI assistants, supporting iOS and Android platforms, and featuring intelligent element location, session management, and automated test generation functions.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

Cryo MCP is a model completion protocol server based on the Cryo blockchain data extraction tool, which provides the ability to access blockchain data via API and supports SQL queries and output in multiple data formats.

Claude Talk to Figma MCP is a plugin based on the Model Context Protocol that allows AI tools such as Claude Desktop to directly interact with Figma, enabling AI-assisted design capabilities. The project connects the AI client and the Figma plugin through a WebSocket server, supporting design operations such as document analysis, element creation and modification, and text processing.

Open Strategy Partners (OSP) provides a comprehensive suite of marketing tools for technical marketing content creation, optimization, and product positioning, based on its proven methodology and the Model Context Protocol (MCP).

XiYan MCP Server is a model context protocol server based on XiYan-SQL that supports querying databases through natural language and provides options for integrating multiple LLM models and local deployment.

A MongoDB - based Model Context Protocol (MCP) server that provides database interaction capabilities for LLMs

The Supabase MCP server is a tool based on the Model Context Protocol (MCP) that provides a standard interface for AI assistants to interact with Supabase databases, supporting database operations such as create, read, update, and delete.

This project implements a server based on the Model Context Protocol (MCP) for deploying web applications to AWS serverless infrastructure, supporting automatic deployment of front - end, back - end, and full - stack applications.

The Logseq MCP Server is a model context protocol server that provides direct integration with Logseq knowledge bases, enabling LLMs to interact programmatically with Logseq graphs.

An MCP toolkit based on the Sui blockchain, providing blockchain interaction and model context protocol functions

The DB Timetable MCP Server is a Model Context Protocol server based on the Deutsche Bahn timetable API, providing tools and resources for accessing train timetables, station information, and change data.

A TypeScript-based MCP server that uses OpenAI's DALL-E 3 model to generate images based on text prompts.