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Enables AI assistants to interact with Google's Gemini API using the Model Context Protocol.
Executes an agent, potentially for use with CodeQL analysis on local Git repositories within a Docker container.
Generates text differences between two strings in Unified diff format.
Enables interaction with the Kaonavi API through an MCP server.
Enables AI assistants to interact with the comprehensive Square API ecosystem via the Model Context Protocol.
Provides a secure and robust Model Context Protocol server for managing file system operations with built-in safeguards and comprehensive error handling.
Explores Artificial Intelligence concepts through hands-on project creation using Laravel, Vue, and modern AI tools.
Verify domain availability using WHOIS lookups and DNS resolution, deployable as a remote MCP server.
Enables secure execution of Ditto DQL queries against Ditto Big Peer Database Applications through a Model Context Protocol server.
Orchestrates a Python-native autonomous AI control plane and MCP server, providing a persistent execution core for intelligent agents with advanced state management, memory, and environmental interaction to enable scalable AI-driven workflows.
Facilitates seamless integration and programmatic control of ComfyUI workflows, offering node discovery, dynamic workflow building, and real-time execution for AI agents.
Enables cross-team communication between Claude Code and Cursor agent teams operating in separate Devcontainers.
Integrates GetProspect with the Model Context Protocol for enhanced lead generation capabilities.
Manages timesheets, project planning, budgets, and team activities within the Wethod project management platform.
Simulates WebAuthn authenticators and passkeys for security and automated testing without requiring physical hardware.
Provides a comprehensive and AI-readable database of Peruvian legislation for legal research and cybersecurity compliance via the Model Context Protocol.
Provide a comprehensive database of Romanian law for AI-powered legal research and cybersecurity compliance.
Integrate AI agents with the TaScan universal task protocol to manage projects, events, tasks, workers, QR codes, templates, and reports for physical-world work.
Enables 1C:Enterprise applications to function as Model Context Protocol (MCP) servers, exposing business logic to AI clients.
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