Give AI agents real-time vision, spatial, acoustic, and environmental perception.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.afferens/mcp-server" MCP server from askskill: Run: claude mcp add 'io-github-afferens-mcp-server' -- npx -y @afferens/mcp-server
Explain how to integrate this MCP tool into an AI agent to obtain real-time camera feeds, spatial position, sound events, and environmental sensor data, and provide a call flow suitable for a robot inspection scenario.
An integration guide with data channels, call steps, and an example perception flow for robot inspection.
Design a multimodal perception workflow for an AI agent that combines vision, spatial, acoustic, and environmental signals to determine whether a meeting room is occupied, whether someone is speaking, and whether the environment is suitable for a meeting.
A perception decision workflow including input signals, decision rules, and defined outputs.
Give me an automation example using this tool: when abnormal noise, nearby human presence, and high temperature are detected, how should the AI agent trigger alerts, log events, and generate a status summary?
An event-driven automation plan describing trigger conditions, alert actions, log fields, and a summary template.
Enable AI agents to perceive and understand physical spaces through depth vision.
Build MCP servers and custom agent tools faster with a development framework.
Find MCP servers, A2A agents, and AI skills quickly in one place.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Provides architecture visibility and control for agentic engineering teams.
Add authorization, delegation, provenance, and audit controls to AI agents.