"iRobot" matching MCP servers:

Provides deterministic system information and developer utilities including date/time operations, OS details, math calculations, random data generation, hashing, text formatting, data validation, encoding/decoding, and log analysis.

A Model Control Protocol plugin for controlling GS cleaning robots, supporting robot listing, status monitoring, navigation commands, task execution, and remote control operations.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Implements Agentic Context Engineering to create self-improving AI coding assistants that learn from execution feedback and build persistent knowledge playbooks. Reduces token usage by 86.9% while improving code accuracy by 10.6% through incremental context updates.

MCP server that wraps the Wildfire IM Robot SDK to provide tools for messaging, user management, group management, and file uploads, enabling AI agents to interact with Wildfire IM via natural language.

Enables AI assistants to control Universal Robots through real-time connection management, status monitoring, and precise joint/linear motion control. Provides safe robot operation with built-in collision detection and simulation mode for development without physical hardware.