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MCP server and client for running Linux commands

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MCP server implementation for handling run_python requests

MCP Server for executing PowerShell scripts

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A robust command execution service with daily log rotation, designed to securely manage and execute system commands with safety checks and logging.

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MCP server for executing shell commands.

Shell Execution MCP Server for Claude and other MCP-compatible AI assistants

Temporal MCP is a bridge connecting AI assistants like Claude with the powerful Temporal workflow engine. By implementing the Model Context Protocol (MCP), it allows AI assistants to discover, execute, and monitor complex workflow orchestrations—all through natural language conversations.

This server acts as a command execution gateway for the Buu platform, exposing tools to manage teams, subthreads, and generation requests using a standardized MCP interface.

demo multiplexing mcp servers

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support execute shell on linux

A powerful MCP server for AI-generated code execution (run Python or JavaScript securely with full support for any npm or PyPI package) and custom MCP tools building (write your own business logic and configurable input parameters).

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This repository demonstrates a security vulnerability in MCP (Model Context Protocol ) servers that allows for remote code execution and data exfiltration through tool poisoning.

MCP Server featuring multiple SSH related utilities

An MCP server capable of executing any terminal command securely and efficiently

WunderTrading MCP connects AI agents and coding tools to live crypto trading execution through WunderTrading. It gives agents a way to turn trading decisions into real actions on connected exchanges using WunderTrading as the execution layer via MCP or REST API. WunderTrading’s docs describe MCP setup through a dedicated server endpoint with HMAC API credentials. The platform positions this MCP integration for broader AI trading workflows, not just basic order placement. AI agents can combine strategy instructions with market data, technical signals, news, sentiment, screenshots, and other inputs, then place and manage trades automatically on connected exchanges. WunderTrading highlights use cases such as pattern-recognition trading, sentiment-based trading, copy trading automation, portfolio rebalancing, cross-exchange arbitrage, trade history analysis, backtesting, signal automation, and order book trading. WunderTrading highlights support for 20+ exchanges and shows leading supported venues including Binance, Bybit, Coinbase, Bitget, OKX, KuCoin, Hyperliquid, and BingX. Its supported exchanges page also describes WunderTrading as a multi-exchange crypto trading platform with a single interface and secure API access. Setup is straightforward: create a WunderTrading account, generate HMAC API keys, add the wundertrading MCP server to your MCP client configuration, and connect your exchange accounts so the agent can execute trades. WunderTrading says live trading through MCP/API is available from the PRO plan, while paper trading is available for testing.

A CLI that runs your scripts and exposes them as tools through a built-in, extensible MCP server.

Run code in secure remote sandboxes

Konnektoren MCP Server helps you learn German faster and smarter. Instantly find answers to grammar questions, discover the best exercises for your level, and create your own interactive challenges—all in one place. Whether you’re a student, teacher, or self-learner, this server gives you easy access to high-quality German learning resources and tools, right inside your favorite AI assistant. No technical setup required—just connect and start improving your German today!

An experimental MCP service for Azure AI Search in Python

A library for indexing code repositories using Tree-sitter Stack Graphs, designed to be used in MCP servers and other tools.

Code indexing MCP server to provide context to coding agents.

MCP Sandbox transforms JavaScript modules into secure MCP servers, enabling AI systems to access functions safely. With automatic reflection and type inference, it simplifies the integration process for developers. 🛠️💻

# 🐢🚀 Node.js Sandbox MCP ServerThis repository hosts a Node.js server that implements the Model Context Protocol (MCP) for running JavaScript in isolated Docker containers. It allows for on-the-fly npm dependency installation, making it easy to execute code safely and efficiently.

小智 & Cursor 的 MCP 启动器 - MCP For Cursor&xiaozhi。打包成可执行文件。Turn MCP server into an executable file

Hosted MCP execution layer for AI tools. Connect any API and run tools safely with built-in retries, permissions, and observability.

Give hands to AI. MCP server to run shell commands securely, auditably, and on demand.

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Empowering AI with Workflow Orchestration

Turn conversations into project plans. Gantta connects your AI assistant to a full project management backend — plan projects, manage tasks, chase actions, and generate reports, all through natural language. What you can do Create project plans — Describe your project in plain language and get a structured plan with milestones, dependencies, deadlines, and deliverables Break down tasks — Automatically decompose projects into prioritised actions with owners, due dates, and status tracking Assign owners — Allocate tasks to team members and track who is responsible for what across every project Chase actions automatically — Follow up on overdue or pending actions with automatic owner notifications so nothing slips through the cracks Capture meeting transcriptions — Log meeting notes, standups, or any conversation and extract structured action items automatically Generate reports and slide decks — Produce project status reports, progress summaries, and presentation-ready slide decks directly from your project data Track timelines — View project schedules, milestone progress, and dependency chains at a glance Who it's for Product managers, project leads, founders, and agency teams who run projects across multiple clients and want to manage everything from their AI assistant without switching tools. No account needed to start Try Gantta instantly — your AI assistant can create project plans right away. When you're ready to save your work, collaborate with your team, and unlock full reporting, claim your workspace at gantta.co. Why Gantta over traditional PM tools Traditional project management tools require manual data entry, constant tab-switching, and rigid workflows. Gantta lets you manage projects the way you actually think — by talking. Your AI assistant becomes your project manager, handling the structure while you focus on the work. Built for teams who plan through conversation, not spreadsheets.