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Real-time physical perception for AI agents — vision, spatial, acoustic, environmental

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Описание

Real-time physical perception for AI agents — vision, spatial, acoustic, environmental

README

MCP server for Afferens - real-time physical perception for AI agents.

Use it from local MCP clients over stdio or remote/hosted clients over streamable HTTP. It gives any MCP-compatible AI assistant live sensor data: object detections, positions, sounds, environmental readings, chemical traces, and node health.

Tools

Tool Auth Description
afferens_demo None Live perception data across all 6 modalities. Free, no key needed.
afferens_perceive API key Query live events by modality with filtering and limits.
afferens_verify API key Fetch the feed twice and return a proof bundle with headers, age, and a freshness verdict.

Modalities: VISION / SPATIAL / ACOUSTIC / ENVIRONMENTAL / MOLECULAR / INTEROCEPTION

Quick Start

Free tier: 10,000 tokens, no card required. Get your key at afferens.com.

Local MCP Clients

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

Then set your key:

claude mcp add afferens -e AFFERENS_API_KEY=YOUR_KEY -- npx -y @afferens/mcp-server

This stdio setup works for Claude Code, Claude Desktop, Cursor, and Windsurf.

Remote MCP Clients

For hosted or browser-based clients, run Afferens in HTTP mode and point the client at the /mcp endpoint:

AFFERENS_TRANSPORT=http AFFERENS_PORT=8790 AFFERENS_API_KEY=YOUR_KEY node dist/index.js

Then register the endpoint:

{
  "afferens": {
    "url": "http://127.0.0.1:8790/mcp",
    "bearer_token_env_var": "AFFERENS_API_KEY"
  }
}

Claude Desktop / Cursor / Windsurf

Add to your MCP config file:

{
  "mcpServers": {
    "afferens": {
      "command": "npx",
      "args": ["-y", "@afferens/mcp-server"],
      "env": {
        "AFFERENS_API_KEY": "YOUR_KEY"
      }
    }
  }
}

Config file locations:

  • Claude Desktop (Mac): ~/Library/Application Support/Claude/claude_desktop_config.json
  • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
  • Cursor: .cursor/mcp.json in your project root
  • Windsurf: ~/.codeium/windsurf/mcp_config.json

Try it without a key

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

Call afferens_demo - no API key needed.

Usage

Once connected, your AI agent can call:

afferens_perceive({ modality: "VISION", limit: 5 })

Returns structured perception events your agent can reason over and act on.

For demo verification:

afferens_verify({ modality: "VISION", limit: 3, wait_ms: 2000 })

Returns two raw snapshots plus headers, age, and a hash check so you can show whether the feed is live, stale, or unchanged.

Links

License

MIT

from github.com/afferens/afferens-mcp

Установить Server в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install io-github-afferens

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add io-github-afferens -- npx -y @afferens/mcp-server

FAQ

Server MCP бесплатный?

Да, Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Server?

Нет, Server работает без API-ключей и переменных окружения.

Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Server в Claude Desktop, Claude Code или Cursor?

Открой Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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