Server
БесплатноНе проверенReal-time physical perception for AI agents — vision, spatial, acoustic, environmental
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.jsonin 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
- afferens.com - sign up, dashboard, API docs
- npm
- Smithery
License
MIT
Установить Server в Claude Desktop, Claude Code, Cursor
unyly install io-github-afferensСтавит 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-serverFAQ
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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