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Real-time physical perception for AI agents — vision, spatial, acoustic, environmental
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Real-time physical perception for AI agents — vision, spatial, acoustic, environmental
Security Report
This MCP server has good security fundamentals with proper authentication mechanisms and reasonable permission scoping. The code is well-structured with clear separation between authenticated and unauthenticated tools. Minor concerns around input validation in HTTP bearer token handling and a lack of request size limits prevent a higher score, but these are not critical issues. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-afferens-mcp-server": {
"args": [
"-y",
"@afferens/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@afferens/mcp-server
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
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