MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.
A single MCP server that exposes safe, permission-checked tools for AI assistants to reach file systems, databases, APIs, Git, cloud services, and business applications.
A local MCP server that gives a cloud AI agent hands on a real machine, enabling file operations, command execution, and screen capture via a secure tunnel with path whitelisting, command guards, and audit logging.
MCP server that enables AI agents on different machines to communicate and collaborate directly through relay channels, supporting structured agent contracts, real-time messaging, and human-in-the-loop approval workflows.
An MCP server that lets coding agents scaffold, run, and iterate on Maltego transforms against a live local server, reading back entity results to validate and improve mappings.
A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.