# Afferens MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.afferens%2Fmcp-server
Registry id: `mcp-registry/io.github.afferens/mcp-server`
Status: unknown

## Install

```json
{
  "mcpServers": {
    "afferens-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@afferens/mcp-server"
      ]
    }
  }
}
```

Claude Code:

```sh
claude mcp add afferens-mcp-server -- npx -y @afferens/mcp-server
```

## Tools (5)

- `afferens_actuate`: Send a command to a physical Afferens node. Use this to trigger actions on hardware — capture a camera frame, sound an alarm, move to coordinates, rotate a came
- `afferens_demo`: Get real-time physical perception data from all 6 Afferens sensory modalities — VISION, SPATIAL, ACOUSTIC, ENVIRONMENTAL, MOLECULAR, and INTEROCEPTION. No API k
- `afferens_ingest`: Push live sensor data into the Afferens sensory layer. Use this when your AI agent is connected to physical hardware and wants to contribute real-time perceptio
- `afferens_perceive`: Query live physical perception events from the Afferens sensory layer. Returns real-time sensor data your AI agent can act on — object detections, positions, so
- `afferens_verify`: Fetch the live perception feed twice with a short delay, then return both raw payloads plus a hash-based freshness check. Use this as a demo proof bundle when y

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.