Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

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 Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

HiMarket is an out-of-the-box enterprise-level AI open platform solution that provides three core components: a management backend, a developer portal, and an AI gateway. It supports packaging AI capabilities such as model services and MCP Server into standardized API products and publishing them.

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.

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.

The Heroku Platform MCP Server is a service designed for large language models, providing the ability to interact with Heroku platform resources.

Civitai MCP Server is a model context protocol service that provides comprehensive access to AI models on the Civitai platform, including functions such as searching for, browsing models, viewing creator information, and browsing generated content.

PlexMCP is a unified gateway platform for managing and orchestrating MCP (Model Context Protocol) servers, providing enterprise-level authentication, multi-tenant isolation, and comprehensive audit logging functions.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

The Pulse CN MCP Server is an MCP protocol server that obtains real-time Chinese Internet popular content. It supports hot search data from 18 platforms such as Weibo and Today's Headlines, providing the latest Chinese trend information for AI models.

The CyberEdu MCP Server is the official Model Context Protocol server of the CyberEdu CTF platform. It enables seamless interaction with the cybersecurity training platform by dynamically discovering all public methods of the CyberEduClient and automatically exposing them as MCP tools.

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

ToolJet MCP is a bridge connecting AI assistants to the ToolJet platform, enabling programmatic interaction through the Model Context Protocol and supporting functions such as user management, workspace operations, and application management.

This project is a server based on the Model Context Protocol (MCP) for integrating the WooCommerce e - commerce platform with AI assistants such as Claude, providing order query and management functions.

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.

The Saleor MCP Server is a Model Context Protocol service designed for the Saleor e-commerce platform, allowing AI assistants to read product, customer, and order data through an HTTP connection and providing read-only API integration functions.

AutoSpectra is an all-in-one AI agent automation platform that provides an integrated solution for browser automation, API testing, debugging tools, etc., and is compatible with multiple AI model systems.

The Keboola MCP Server is a Model Context Protocol server for interacting with Keboola Connection, providing tools to access Keboola storage API data and supporting use on platforms such as Claude Desktop and Cursor AI.

The Zebbern Kali MCP server is a comprehensive penetration testing platform based on the Model Context Protocol (MCP), providing 139 functions for AI assistants (such as GitHub Copilot) to directly execute security tools on the Kali Linux system through a standardized API, covering network reconnaissance, web application testing, password cracking, vulnerability exploitation, and Active Directory attacks.

Mobi MCP Server is a service based on the Model Context Protocol, used to enable the interaction between AI models and the Mobi knowledge management platform, providing functions such as search, data retrieval, content creation, and version control.

This project is an MCP server for the Metasploit framework, providing a bridge between large - language models (such as Claude) and the Metasploit penetration testing platform, and supporting the control of complex security testing workflows through a natural language interface.

This project provides a set of tools and services to integrate Power Platform CLI, Graph API, and Azure REST API through the Model Context Protocol (MCP), support interaction with AI models, and simplify the development process.

GarenCode Design is an AI-driven intelligent component design platform that automates the entire process from requirements analysis to code generation through the MCP framework. It supports multiple AI models and private component libraries, significantly improving front-end development efficiency.

The MCP 3D Printer Server is a middleware that connects Claude with multiple 3D printer management systems, supporting mainstream platforms such as OctoPrint, Klipper, and Duet, and providing printer control, file management, and advanced STL model processing functions.

mcp_ctl is a powerful package management tool for MCP (Model Context Protocol) servers, supporting installation, deletion, searching, and listing of servers. It provides cross - platform support and lightweight, efficient management.

An experimental Model Context Protocol server based on Node.js that provides access to the Autodesk Platform Services API and implements fine-grained access control through the Secure Service Accounts feature.

Pushover MCP is a tool that implements the Model Context Protocol specification, allowing AI agents to send notifications via Pushover.net. It provides a simple configuration method and multiple integration methods, and supports use on platforms such as Cursor and Roo Code.

A hot news server based on the MCP protocol that aggregates real - time hot topics from 9 major Chinese mainstream social platforms and news websites, supporting AI model integration and popularity index display.

The Binalyze AIR MCP Server is a Node.js server implementing the Model Context Protocol (MCP), providing natural - language interaction capabilities for the Binalyze AIR digital forensics and incident response platform. It supports various functions such as asset management, evidence collection, endpoint operations, and policy management, authenticates through API tokens, and can be integrated with MCP clients such as Claude and Cursor.

An extensible model context protocol server that provides standardized access to social platform data and on-chain data.

falcon-mcp is a Model Context Protocol server that connects AI agents to the CrowdStrike Falcon platform, providing programmatic access to core security capabilities such as security detections, events, and behaviors, and supporting intelligent security analysis and automated workflows.

A server based on the Model Context Protocol that provides tools for interacting with the protocols.io scientific experiment protocol platform, including functions such as protocol search, creation, management, and step operations.

The Arc MCP Server is a Model Context Protocol server that simplifies framework deployment, focusing on shared hosting environments, supporting multi - platform deployment and guided operations.

The Pica MCP Server is a Model Context Protocol server built on TypeScript, providing the Pica platform with the ability to securely connect AI assistants to external tools and data sources.

Kontent.ai MCP Server is a server that implements the model context protocol, which can connect the Kontent.ai content management platform with AI tools such as Claude and Cursor, enabling the creation, management, and exploration of content models through natural language instructions.

The Foundry MCP Server is a Model Context Protocol server for interacting with the Foundry platform, supporting AI assistants to operate on datasets, ontology objects, and execute functions.

This is a server that connects the TrainingPeaks training data platform to AI assistants like Claude through the Model Context Protocol (MCP). It allows users to query training data, analyze training loads, compare power data, and track fitness trends through natural language, without waiting for official API approval and using secure cookie authentication.

An MCP protocol server implemented for the Replicate platform, providing model invocation and management tools