Mcp Server
Give Claude or Cursor agents live physical-world context—vision, space, sound, and environment—instead of text-only guesses.
Overview
io.github.afferens/mcp-server is a MCP server for the Build phase that streams real-time vision, spatial, acoustic, and environmental perception into AI agents.
What is this MCP server?
- stdio MCP package @afferens/mcp-server (npm 0.2.1) for local agent wiring
- Multi-modal perception: vision, spatial layout, acoustic, and environmental signals
- Designed for realtime physical context, not static document retrieval
- GitHub source at afferens/afferens-mcp for self-hosted stdio transport
- Fits robotics, ambient assistants, and multimodal agent prototypes
- Registry version 0.2.1
- npm identifier @afferens/mcp-server
- stdio transport only in published package manifest
What problem does it solve?
Text-only agents cannot see, hear, or sense the physical environment, so hardware-aware products stall on bespoke glue code.
Who is it for?
Indie builders prototyping embodied agents, smart-office tools, or perception-backed automations who already run MCP in Claude Code or Cursor.
Skip if: Teams that only need web scraping or document RAG with no realtime sensors or spatial context.
What do I get? / Deliverables
After you register the stdio server, your agent can call perception-oriented tools alongside code edits for grounded multimodal workflows.
- Registered stdio MCP server exposing perception-related tools to your agent
- Agent workflows that can reference live physical context during Build
- Foundation for multimodal prototypes without custom MCP boilerplate
Recommended MCP Servers
Journey fit
Perception hooks belong in Build because they wire hardware and sensor pipelines into the agent stack you are shipping. Agent-tooling is the canonical shelf for MCP servers that extend what an coding agent can sense and act on in realtime.
How it compares
MCP perception integration, not a brainstorming or planning agent skill.
Common Questions / FAQ
Who is io.github.afferens/mcp-server for?
Solo and small-team builders adding realtime vision, spatial, acoustic, and environmental sensing to Claude Code, Cursor, or other MCP-compatible agents.
When should I use io.github.afferens/mcp-server?
Use it during Build when your product needs live physical context—cameras, space, sound, or environment—not just APIs and files.
How do I add io.github.afferens/mcp-server to my agent?
Add an MCP server block with stdio transport and npm package @afferens/mcp-server per the registry entry, then restart your client and verify tool discovery.