"Xero" matching MCP servers:

Enables multi-model inference, model discovery, credit monitoring, and API key management through OpenRouter, integrating with Claude Desktop, Cursor, Antigravity, and Windsurf.

Enables AI-powered image editing such as upscaling, background removal, restoration, colorization, denoising, and compression through a simple API.

Enables agents to turn ambient visual wallpapers and lifestyle scenes into personalized retail product recommendations and shopping actions through MCP tools.

Enables reversible anonymization of SSNs, credit cards, passport numbers, emails, and phone numbers in prompts before sending them to external LLMs, and restores original tokens from completions using local HMAC isolation.

Enables zero-shot demand forecasting for supply-chain decisions, returning mean predictions, quantile bands, and confidence scores via a strictly-typed MCP tool.

An MCP server that scores lock-screen micro-moments from gaze, dwell, and ambient context signals to estimate impulse-shopping propensity and return personalized shopping actions. It exposes this inference over standard STDIO JSON-RPC so agents can attach zero-friction ambient intent scoring to any runtime.

A Model Context Protocol server that lets AI agents and runtime firewalls call PromptShield-style safety checks for text, chat messages, prompts, tool inputs, and generated outputs.

Provides real-time, up-to-date documentation for major LLM providers (OpenAI, Anthropic, Google Gemini) to prevent hallucinations and outdated code patterns in AI agents.