Real-time physical perception for AI agents — vision, spatial, acoustic, environmental
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-afferens-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
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Real-time physical perception for AI agents — vision, spatial, acoustic, environmental
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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.
| 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
Free tier: 10,000 tokens, no card required. Get your key at afferens.com.
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.
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"
}
}
Add to your MCP config file:
{
"mcpServers": {
"afferens": {
"command": "npx",
"args": ["-y", "@afferens/mcp-server"],
"env": {
"AFFERENS_API_KEY": "YOUR_KEY"
}
}
}
}
Config file locations:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json.cursor/mcp.json in your project root~/.codeium/windsurf/mcp_config.json{
"mcpServers": {
"afferens": {
"command": "npx",
"args": ["-y", "@afferens/mcp-server"]
}
}
}
Call afferens_demo - no API key needed.
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.
MIT