The JFrog MCP Server is an experimental project that provides model context protocol services for the JFrog platform API, supporting functions such as repository management, build tracking, and release lifecycle management.

The MCP Gateway is an advanced AI infrastructure middleware solution that acts as a proxy gateway for model context protocol (MCP) servers, providing unified interfaces, sensitive information filtering, and lifecycle management functions.

The Coolify MCP Server is a model context protocol server integrated with the Coolify API, providing functions such as team management, server management, service lifecycle management, and application deployment.

The SD Elements MCP server is a model context protocol service that provides SD Elements API integration, enabling LLMs to interact with the SD Elements secure development lifecycle platform.

An advanced Proxmox Model Context Protocol (MCP) server based on Python, providing a rich set of Proxmox tools, including discovery, lifecycle management, network configuration, snapshot/backup, monitoring metrics, resource pool/permission management, and orchestration functions.

This project is a website that records the release moments of large - language models. It shows the update status of large models of various companies through a timeline, helping users understand model features and apply them to real - life work.

MCP Milvus is a Milvus vector database service based on the Model Context Protocol, providing complete database lifecycle management, high-performance vector search, and intelligent session management functions.

A server based on the Model Context Protocol (MCP) that provides domain registration information and SSL certificate monitoring functions, suitable for security monitoring, domain management, and certificate lifecycle tracking.

The LIFX API MCP Server is a local Model Context Protocol (MCP) server that controls LIFX smart lights through natural language, providing functions such as light state query, scene switching, and special effect triggering.

DollhouseMCP is a server based on the Model Context Protocol (MCP) that provides dynamic AI character management functions and supports sharing and commercializing characters through the GitHub community. It includes 23 tools, covering the full lifecycle management of character creation, activation, editing, validation, etc., and has enterprise-level security measures and an automatic update system.

OpenGenes-MCP is a server based on the Model Context Protocol (MCP), which provides a standardized interface for the OpenGenes database to access data on aging and longevity research. The server automatically downloads the latest OpenGenes database from the Hugging Face Hub to ensure that users can always access the latest data. The database contains experimental data on lifespan changes, gene classification standards, associations with aging markers, and longevity-related research. It supports converting natural language queries into SQL queries, making it convenient for researchers and AI assistants to use.

A service based on the Model Context Protocol (MCP) for querying software End-of-Life (EOL) dates and support status, helping AI assistants provide accurate software lifecycle and security status information.

LIFX LAN MCP is a server based on the Model Context Protocol (MCP) that allows an LLM to control LIFX smart lights via the local network without cloud connection. It provides functions such as querying the light list, getting states, controlling on/off, and adjusting colors, and supports two communication modes: stdio and HTTP.

The MCP Server for ServiceNow is a modular and extensible solution that integrates with ServiceNow via the Model Context Protocol (MCP). It provides a series of API tools covering various use cases such as ITSM, ITOM, SAM, HAM, enhanced CMDB, PPM, employee experience, reporting and analysis, dynamic tool registration, and workflow orchestration. This solution is suitable for integration with AI agents or other external systems to automate processes such as access provisioning, incident management, and asset lifecycle management.

mcp - agent is a lightweight AI agent framework based on the Model Context Protocol (MCP), which supports building efficient agent applications through a simple and composable model. It integrates the lifecycle management of the MCP server and implements multiple workflow models, such as parallel processing, routing, evaluation optimization, etc., and is suitable for various AI application scenarios such as multi - agent collaboration and human - machine interaction.