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Executes command-line commands and returns their output, status code, and errors.
Provides a Model Context Protocol (MCP) server implementation for fetching data from Talos nodes.
Enables programmatic interaction with Expo projects and Expo Application Services (EAS) for mobile app development automation.
Executes code in isolated Docker containers and returns the results to language models.
Deploys a simple Model Context Protocol (MCP) server with shell execution capabilities.
Provides a Dockerized web-based desktop environment with a Playwright server for robust browser automation.
Transforms penetration testing into an intelligent, automated, and secure process.
Enables AI assistants to interact with Docker via the Model Context Protocol (MCP).
Provides intelligent Zsh shell execution for Claude Code, featuring yield-based oversight, interactive PTY mode, and adaptive learning capabilities.
Ensures AI-generated code is production-ready by enforcing quality guardrails and deployability standards.
Provides OPNsense API functionality through a Model Context Protocol (MCP) interface, enabling interactive network and system management.
Manages multiple MCP servers through a single proxy.
Ingests Terraform multi-repository module data, creating structured JSON summaries and vector embeddings for AI-powered RAG and semantic search.
Enables AI agents like Claude to interact with Cisco Nexus Dashboard APIs for intelligent network automation and management.
Manages Apache Beam data pipelines across different runners using a standardized Model Context Protocol (MCP) API.
Automatically analyzes error, warning, and critical logs using AI agents to detect patterns, classify incidents, and recommend fixes.
Unify diverse tools and capabilities through the Model Context Protocol, allowing AI systems to interact with specialized services with live progress updates.
Provides a comprehensive set of 172 tools, agents, and commands to transform Claude Desktop into a powerful development command center.
Routes Model Context Protocol (MCP) tool calls intelligently to multiple backend servers.
Integrates AI systems and coding assistants with JFrog Platform services to provide real-time, actionable development insights.
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