# Afferens

> Use this tool when you need to integrate live sensor data into your AI applications, enabling agents to perceive and respond to their environment through various modalities, including vision, sound, and environmental monitoring. Afferens solves problems related to real-time data ingestion, sensor fusion, and contextual awareness, providing a unified interface for accessing and manipulating perception streams. With Afferens, agents can connect via API key and access a range of perception types, making it ideal for use cases that require multimodal sensing and intelligent decision-making.

Canonical page: https://skillsregistry.net/skills/afferens  
JSON: https://api.skillsregistry.net/v1/skills/afferens

## Description

Afferens gives AI agents live sensor data across six perception types: vision (object detections), spatial awareness (positions), acoustic input (sounds), environmental monitoring (readings), molecular detection (chemical traces), and interoception (internal state). Agents connect via API key with a free tier of 10,000 tokens and full read and write access to physical perception streams.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/afferens)
- **Repository:** <https://github.com/afferens/afferens-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "afferens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/afferens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/afferens/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt