⏰ Time MCP Server: Giving LLMs Time Awareness Capabilities
📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.
This is a TypeScript-based MCP server that provides database interaction capabilities through ArangoDB.
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
An MCP server built on ableton-js enables AI assistants to control Ableton Live in real time, including Arrangement View operations such as song management, track control, MIDI editing, and audio recording, along with other capabilities.

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.
An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.
An MCP server providing web search and content extraction capabilities. Integrates DuckDuckGo search functionality and URL content extraction into your MCP environment, enabling AI assistants to search the web and extract webpage content.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.