The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.

The 302AI BrowserUse MCP Server is an AI-based browser automation server that enables natural language control of browsers and web research through the Model Context Protocol (MCP).

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.

Blender MCP VXAI is a powerful integration tool that allows users to control Blender through natural language to create and modify 3D models, animations, and scenes. It simplifies complex operations and supports real-time export to projects.

Jinni is an efficient tool for providing project context to large language models. It overcomes the limitations of reading files one by one by integrating relevant files and their metadata.

The AI Infrastructure Agent is an intelligent system that allows users to manage AWS cloud resources through natural language commands. It uses AI models to convert user requirements into executable AWS operations and provides web dashboards, state management, and security protection functions.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

BloodHound - MCP is a project that integrates the Model Context Protocol (MCP) server with BloodHound, analyzing Active Directory security data through natural language.

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.

BloodHound - MCP is a tool that integrates the Model Context Protocol (MCP) server with BloodHound. It analyzes Active Directory attack paths through natural language and provides more than 75 dedicated tools for AD security assessment.

MCPEngine is a production-grade implementation of the Model Context Protocol (MCP), providing standardized interfaces for large language models (LLMs). It supports functions such as OAuth authentication, resource management, and tool invocation, aiming to become the 'REST of the LLM world' framework.

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 Elasticsearch MCP Server project enables natural - language interactive queries of Elasticsearch data through the Model Context Protocol (MCP).

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

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.

DroidMind is a bridge tool for controlling Android devices via AI, implementing the Model Context Protocol (MCP), allowing AI to interact securely with Android devices through natural language.

The YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.

MCP2Lambda is an MCP server that allows AWS Lambda functions to be used as tools for large language models (LLMs) without modifying the code. It builds a bridge between AI models and Lambda functions through the Model Context Protocol (MCP), enabling models to access private resources and perform custom operations.

The Alpaca MCP server is a model context protocol (MCP) service that implements the Alpaca trading API, allowing large language models to interact with the Alpaca trading system through natural language, supporting stock/options trading, portfolio management, and real-time market data acquisition.

DaVinci Resolve MCP Server is a Model Context Protocol server that connects AI programming assistants (such as Cursor, Claude Desktop) with DaVinci Resolve, supporting natural language queries and control of DaVinci Resolve.

WireMCP is an MCP server that provides real-time network traffic analysis capabilities for large language models (LLMs). It realizes data capture, threat detection, and network diagnosis by integrating the Wireshark tool.

The Rails MCP Server is a Model Context Protocol server implemented in Ruby, providing a standard interface for Rails projects to interact with large language models.

A knowledge graph memory server implemented in Swift, providing persistent memory functions for large - language models

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.

HAProxy MCP Server is an HAProxy model context protocol server implemented in Go language. Through the HAProxy runtime API and the mcp-go library, it provides a standardized HAProxy management interface for large language models, supporting natural language interaction for load balancer management, monitoring, and traffic analysis.

The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

The Railway MCP Server is a service based on the Model Context Protocol (MCP) for managing the infrastructure of Railway.app through natural language, including deploying services, managing variables, and monitoring deployments.

The Azure Impact Reporting MCP Server is a tool that allows large language models to automatically parse user requests and submit reports on Azure resource issues. It supports multiple impact categories and automatically handles authentication and parameter extraction.

MCP Solver is a server that exposes SAT, SMT, and constraint - solving capabilities to large language models through the Model Context Protocol (MCP).

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

A tool for querying AWS cloud spending through the MCP protocol, integrating the Claude model to provide a natural language interaction interface.

An MCP server implementation for the Deepseek R1 language model based on Node.js, supporting an 8192-token context window, providing stable Claude Desktop integration and model parameter configuration.

A Docker management server based on the Model Context Protocol that provides container management functions through a natural language interface

The Wikipedia MCP Server is a tool that provides Wikipedia information query services for large language models. It enables real - time data access through a standardized protocol interface and includes functions such as searching, article retrieval, and summary generation.

The ScrapeGraph MCP Server is a production - ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to leverage advanced AI - driven web scraping capabilities.

An MCP server that provides Notion integration, supporting operations such as page search, creation, update, and database management, enabling seamless interaction between language models and the Notion workspace.

MCPfinder is a local server tool that provides dynamic capability expansion for AI agents. By searching for and installing toolkits compatible with the MCP protocol, language models can obtain new functions on demand.

The MCP service for Ant Design components provides support for component documentation query and code generation for large language models