# @afferens/mcp-server

> @afferens/mcp-server — afferens-afferens-mcp. Use this tool when you need to integrate real-time physical perception data into your AI agents, providing them with accurate object detections, positions, sounds, and environmental readings. It solves problems related to situational awareness and sensor data processing, enabling agents to make informed decisions. The tool accepts MCP tool inputs and outputs formatted perception data, ideal for use cases requiring real-time sensory feedback.

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

## Description

Provides AI agents with real-time physical perception data including object detections, positions, sounds, and environmental readings via MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/su3a853fld)
- **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-afferens-mcp"
    }
  }
}
```

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