"iRobot" matching MCP servers:

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Enables interaction with Waferlock Robot services through a public REST API bridge. Provides secure access to robot management functionality without exposing AWS credentials, supporting local MCP server deployment via CLI.

A one-command MCP server that bridges a ROBOT.md file to any MCP-aware agent, exposing structured robot manifest resources and validation tools without configuration.

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.