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Vento Remote MCP Connector

Vento Remote MCP Connector

CI Status License

Connect Claude, Claude Desktop, and Cursor to any Vento instance via Model Context Protocol


πŸš€ Quick Deploy

Deploy on Railway

Vento Remote MCP is a production-ready remote server that bridges Claude (claude.ai, mobile app, Claude Desktop, Claude Code, and the Anthropic API) with any Vento instance (self-hosted or cloud.vento.build). It enables AI assistants to read sensor values, monitor device status, and execute real-world actions through Vento boards and agents.

What is Vento?

Vento is an AI control and automation platform for devices, machines, and spaces:

  • Boards: Visual dashboards composed of cards representing sensors (value cards) and actuators (action cards)

  • AI Agents: LLM-powered decision loops that observe the world, make decisions, and take action

  • Device Integration: Native support for ESP32/ESPHome, Android phones, Go/Python agents, and custom MQTT devices

  • Real-time Control: MQTT-based instant communication with physical devices and sensors

Related MCP server: RegenNexus MCP Server

Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                      CLAUDE ECOSYSTEM                           β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”‚
β”‚  β”‚  Claude.ai   β”‚  β”‚Claude Desktopβ”‚  β”‚   Claude Code      β”‚    β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β”‚
β”‚         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                 β”‚
β”‚                      β”‚                                          β”‚
β”‚                      β–Ό                                          β”‚
β”‚         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                        β”‚
β”‚         β”‚ Anthropic API / MCP Client  β”‚                        β”‚
β”‚         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                        β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β”‚ HTTP (Bearer Token Auth)
                       β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚          VENTO REMOTE MCP CONNECTOR (This Project)             β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”β”‚
β”‚  β”‚ β€’ Tool Registry (6 MCP tools for reading/controlling)      β”‚β”‚
β”‚  β”‚ β€’ MCP Protocol Handler                                      β”‚β”‚
β”‚  β”‚ β€’ Vento API Client                                          β”‚β”‚
β”‚  β”‚ β€’ Authentication & Rate Limiting                            β”‚β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β”‚ REST (Bearer Token Auth)
                       β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚        VENTO CORE API (Your Vento Instance)                    β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”β”‚
β”‚  β”‚ β€’ /api/boards/v1 - Boards & Cards Management              β”‚β”‚
β”‚  β”‚ β€’ /api/agents/v1 - AI Agents                              β”‚β”‚
β”‚  β”‚ β€’ /api/devices/v1 - Device Registry                       β”‚β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β–Ό
          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
          β”‚  PHYSICAL WORLD (Real Actions)β”‚
          β”‚  β€’ IoT Devices (ESP32)        β”‚
          β”‚  β€’ Motors & Sensors           β”‚
          β”‚  β€’ Android Phones             β”‚
          β”‚  β€’ MQTT Network               β”‚
          β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Quick Start

Prerequisites

  • Node.js 20+ or Docker

  • A running Vento instance (local or remote)

  • Vento API token

  • Anthropic API key (for claude.ai integration)

Installation

# Clone the repository
git clone https://github.com/geromendez199/vento-remote-mcp.git
cd vento-remote-mcp

# Configure environment
cp .env.example .env
# Edit .env with your Vento credentials

# Start the connector
docker compose up

Option 2: Local Development

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit .env with your Vento credentials

# Start in development mode
npm run dev

# Or build and run production
npm run build
npm start

Option 3: Deploy to Cloud

Railway

Deploy on Railway

Render

Deploy to Render

Fly.io

fly launch --repo https://github.com/geromendez199/vento-remote-mcp
fly secrets set MCP_AUTH_TOKEN=your-token
fly secrets set VENTO_API_URL=https://your-vento-instance.com
fly secrets set VENTO_TOKEN=your-vento-api-token
fly deploy

VPS + Cloudflared

# Deploy to VPS
git clone https://github.com/geromendez199/vento-remote-mcp.git
cd vento-remote-mcp
npm install && npm run build

# Install systemd service
sudo cp systemd/vento-remote-mcp.service /etc/systemd/system/
sudo systemctl enable vento-remote-mcp
sudo systemctl start vento-remote-mcp

# Expose via Cloudflared tunnel
cloudflared tunnel create vento-mcp
cloudflared tunnel route dns vento-mcp your-domain.com
cloudflared tunnel run --token $TUNNEL_TOKEN

Configuration

Create .env file:

# Server
PORT=3000
LOG_LEVEL=info

# Security
MCP_AUTH_TOKEN=<generate with: openssl rand -hex 32>

# Vento Connection
VENTO_API_URL=http://localhost:8000
VENTO_TOKEN=your-vento-api-token

# Rate Limiting
RATE_LIMIT_ENABLED=true
RATE_LIMIT_REQUESTS_PER_MINUTE=60

Using with Claude

Claude.ai or Claude Mobile App

  1. Go to claude.ai/app

  2. Click Settings β†’ Custom Connectors

  3. Click Add Custom Connector

  4. Enter:

    • Name: Vento

    • Server URL: https://your-connector-url.com (public URL of your deployment)

  5. In the request header section, add:

    • Key: Authorization

    • Value: Bearer YOUR_MCP_AUTH_TOKEN

  6. Save

Now you can ask Claude to "list my Vento boards" or "turn on the pump".

Claude Desktop

Add to ~/.claude/mcp.json:

{
  "mcpServers": {
    "vento": {
      "url": "https://your-connector-url.com",
      "auth": {
        "type": "bearer",
        "token": "YOUR_MCP_AUTH_TOKEN"
      }
    }
  }
}

Claude Code

claude mcp add --transport http vento https://your-connector-url.com \
  --header "Authorization: Bearer YOUR_MCP_AUTH_TOKEN"

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "vento": {
      "url": "https://your-connector-url.com",
      "auth": {
        "type": "bearer",
        "token": "YOUR_MCP_AUTH_TOKEN"
      }
    }
  }
}

Available Tools

All tools are read-only unless noted otherwise.

Tool

Description

Use Case

vento_list_boards

List all boards with name and description

Discover available boards

vento_get_board

Get complete board state: cards and current values

Monitor sensor data and see available actions

vento_get_card_value

Get current value of a specific sensor card

Check single sensor reading

vento_list_devices

List connected devices (ESP32, Android, etc.)

Monitor device network status

vento_run_action

Execute an action card ⚠️

Control pumps, motors, GPIO, send alerts

vento_send_to_agent

Send message to Vento AI agent

Trigger automation flows using natural language

Every tool accepts an optional instance argument to target a specific Vento instance when VENTO_INSTANCES is configured (see below).

Production Features

Tool permissions (read-only mode)

# Allowlist specific tools (unset = all)
ALLOWED_TOOLS=vento_list_boards,vento_get_board,vento_get_card_value

# Or just hide destructive tools (vento_run_action)
ALLOW_DESTRUCTIVE_TOOLS=false

Blocked tools are removed from discovery and rejected at execution β€” a client that skips tools/list still can't call them.

Multiple Vento instances

VENTO_INSTANCES={"staging":{"url":"https://staging.vento.example.com","token":"tok"}}

The primary instance (VENTO_API_URL) is always available as default. Claude can then say: "compare the temperature on production and staging" β€” each tool call routes via its instance argument.

Observability

Endpoint

Purpose

GET /health

Readiness: pings Vento, reports latencyMs (503 when degraded)

GET /health/live

Liveness: cheap, no upstream calls

GET /metrics

Prometheus metrics (bearer-auth protected)

GET /info

Server version, instances, exposed tools with danger levels

Metrics include request duration histograms, Vento API call counters, per-tool execution counters, auth failures, rate-limited requests, and cache hit/miss. Every HTTP response carries an X-Request-Id that appears in all correlated log lines.

Rate limiting & caching

  • Per-token rate limiting: RATE_LIMIT_REQUESTS_PER_MINUTE (default 60) plus RATE_LIMIT_BURST_PER_SECOND (default 10). Clients are keyed by token hash.

  • Board reads are cached for CACHE_TTL_SECONDS (default 30) and invalidated automatically when an action executes on that board. Live sensor reads are never cached.

Security

⚠️ Important: This connector controls real physical devices. Use with caution.

Authentication

  1. Claude ↔ Connector: Bearer token in HTTP headers

    • Set MCP_AUTH_TOKEN to a strong random value (min 32 characters)

    • Generate: openssl rand -hex 32

    • Never commit tokens to version control

  2. Connector ↔ Vento: API token in environment variables

    • Store VENTO_TOKEN in environment, not in code

    • Use separate tokens for dev/prod

    • Rotate regularly

Permissions

  • Use ALLOW_DESTRUCTIVE_TOOLS=false for read-only deployments

  • Use ALLOWED_TOOLS to expose only specific tools

  • Bearer comparison is timing-safe; auth failures are counted in /metrics

  • Rate limiting is on by default (per-token, with burst control)

Best Practices

βœ… DO:

  • Use strong, randomly generated tokens

  • Rotate tokens regularly

  • Deploy over HTTPS only

  • Monitor logs for suspicious activity

  • Restrict Vento board access to essential actions

  • Test actions in development first

❌ DON'T:

  • Commit tokens to git

  • Use the same token across multiple deployments

  • Expose the connector to untrusted networks

  • Disable authentication

  • Connect to production Vento with test credentials

Development

Project Structure

vento-remote-mcp/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ index.ts              # Server bootstrap (stdio or HTTP)
β”‚   β”œβ”€β”€ server.ts             # MCP tool registration
β”‚   β”œβ”€β”€ config.ts             # Environment validation (zod)
β”‚   β”œβ”€β”€ auth.ts               # Bearer token middleware
β”‚   β”œβ”€β”€ vento/
β”‚   β”‚   β”œβ”€β”€ client.ts         # HTTP client for Vento API
β”‚   β”‚   └── types.ts          # TypeScript types for Vento
β”‚   └── tools/                # Individual tool implementations
β”‚       β”œβ”€β”€ listBoards.ts
β”‚       β”œβ”€β”€ getBoard.ts
β”‚       β”œβ”€β”€ getCardValue.ts
β”‚       β”œβ”€β”€ listDevices.ts
β”‚       β”œβ”€β”€ runAction.ts
β”‚       └── sendToAgent.ts
β”œβ”€β”€ test/                     # Unit and integration tests
β”œβ”€β”€ docs/
β”‚   β”œβ”€β”€ vento-api.md          # Complete API reference
β”‚   └── deploy.md             # Deployment guides
β”œβ”€β”€ Dockerfile                # Multi-stage Docker build
β”œβ”€β”€ docker-compose.yml        # Local dev environment
β”œβ”€β”€ .env.example              # Configuration template
└── README.md                 # This file

Running Tests

# Run all tests
npm test

# Watch mode
npm test -- --watch

# Coverage report
npm test -- --coverage

# Interactive UI
npm run test:ui

Type Checking & Linting

# Type check
npm run type-check

# Lint
npm run lint

# Fix lint issues
npm run lint -- --fix

End-to-End Testing

# Start local Vento + Connector
docker compose up

# In another terminal, test with the MCP inspector
npx @modelcontextprotocol/inspector ts-node src/index.ts

# Or test HTTP endpoints
curl http://localhost:3000/health
curl -H "Authorization: Bearer test-token" http://localhost:3000/info

Roadmap

  • Core MCP server with stdio transport

  • HTTP transport support for remote deployment

  • Bearer token authentication

  • OAuth 2.1 support for Anthropic directory submission

  • Tool filtering and per-conversation permissions

  • Rate limiting and request logging

  • WebSocket transport support

  • Multiple Vento instance support

  • Board state caching and subscriptions

  • Custom tool creation from Vento agents

  • Anthropic MCP directory submission

Troubleshooting

"Invalid authorization header"

Make sure you're using Bearer token authentication:

Authorization: Bearer YOUR_MCP_AUTH_TOKEN

"Failed to connect to Vento API"

Check:

  1. VENTO_API_URL is correct and accessible

  2. VENTO_TOKEN is valid

  3. Firewall allows outbound connections

  4. Vento instance is running and healthy

Connector not showing in Claude

  1. Verify the public URL is accessible: curl https://your-url.com/health

  2. Check token is correct in Claude settings

  3. Wait 1-2 minutes for Claude to sync

  4. Restart Claude app if needed

Actions not executing

  1. Test directly with curl:

    curl -X POST https://your-url.com/mcp \
      -H "Authorization: Bearer YOUR_TOKEN" \
      -H "Content-Type: application/json" \
      -d '{"method":"initialize","params":{}}'
  2. Check Vento board exists and action is enabled

  3. Review logs: docker compose logs connector

Community & Support

Contributing

Contributions are welcome! Please:

  1. Fork the repository

  2. Create a feature branch: git checkout -b feature/your-feature

  3. Make changes with tests

  4. Run: npm run lint && npm test && npm run type-check

  5. Submit a pull request

See CONTRIBUTING.md for details.

License

MIT License - See LICENSE for details

Credits

Built with ❀️ for the Vento community by Gero Méndez

Special thanks to:


Want to contribute, report a bug, or suggest a feature? Open an issue or discussion on GitHub!

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
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