aluvia-mcp 1.0.0

Aluvia MCP server - Model Context Protocol tools for browser sessions and account management

Aluvia MCP Server

Unblockable browser automation for AI agents.

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Stop getting blocked. The Aluvia MCP server exposes browser session management, geo-targeting, and account operations as Model Context Protocol tools for AI agents. Route traffic through premium US mobile carrier IPs and bypass 403s, CAPTCHAs, and WAFs that stop other tools. Works with Claude Desktop, Claude Code, Cursor, VS Code, and any MCP-compatible client.

Table of Contents

• Quick Start
• Requirements
• Installation
• Client Configuration
• Available Tools
• Use Cases
• Why Aluvia
• Links
• License

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Quick Start

pip install aluvia-mcp
export ALUVIA_API_KEY="your-api-key"
aluvia-mcp

Get your API key at dashboard.aluvia.io. The server runs on stdio (stdin/stdout JSON-RPC) — MCP clients spawn it and communicate over stdio.

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Requirements

• Python 3.10+
• Aluvia API key — sign up at dashboard.aluvia.io
• Playwright (optional) — required for browser sessions: pip install playwright && playwright install chromium

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Installation

pip install aluvia-mcp

Or from source:

git clone https://github.com/aluvia-connect/sdk-python.git
cd sdk-python/aluvia_mcp
pip install -e .

For browser session tools, install Playwright:

pip install playwright
playwright install chromium

Set your API key:

export ALUVIA_API_KEY="your-api-key"

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Client Configuration

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "aluvia": {
      "command": "aluvia-mcp",
      "env": {
        "ALUVIA_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code (VS Code Extension)

Add to your VS Code settings (.vscode/settings.json or User Settings):

{
  "mcp.servers": {
    "aluvia": {
      "command": "aluvia-mcp",
      "env": {
        "ALUVIA_API_KEY": "your-api-key"
      }
    }
  }
}

Cursor

Add to your Cursor MCP settings:

{
  "mcpServers": {
    "aluvia": {
      "command": "aluvia-mcp",
      "env": {
        "ALUVIA_API_KEY": "your-api-key"
      }
    }
  }
}

Generic MCP Client

Any MCP-compatible client can use the server by spawning it with stdio transport:

import subprocess
import json

proc = subprocess.Popen(
    ["aluvia-mcp"],
    stdin=subprocess.PIPE,
    stdout=subprocess.PIPE,
    env={"ALUVIA_API_KEY": "your-api-key"}
)

# Send JSON-RPC requests to proc.stdin
# Read JSON-RPC responses from proc.stdout

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Available Tools

Session Management

• session_start — Start a browser session with Aluvia smart proxy
• session_close — Close one or all running sessions
• session_list — List all active sessions
• session_get — Get detailed session info (CDP URL, proxy config, block detection state)
• session_rotate_ip — Rotate IP address for a session
• session_set_geo — Set or clear target geographic region
• session_set_rules — Add or remove proxy routing rules

Account Management

• account_get — Get account info (plan, balance)
• account_usage — Get usage statistics for a date range

Geo-Targeting

• geos_list — List available geographic regions

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Use Cases

1. AI Agent Web Scraping

AI agents need to scrape data from websites that block automated traffic. Aluvia routes requests through mobile IPs, making them appear as real users.

Example workflow:

1. Agent calls session_start with --auto-unblock to launch a browser
2. Agent navigates to target websites
3. If blocked, Aluvia detects it and automatically reroutes through mobile IPs
4. Agent extracts data successfully
5. Agent calls session_close when done

2. Multi-Region Testing

Test how websites behave for users in different US regions.

Example workflow:

1. Agent calls geos_list to see available regions
2. Agent calls session_start and then session_set_geo with us_ca for California IPs
3. Agent verifies location-specific content
4. Agent calls session_set_geo with us_ny to switch to New York IPs
5. Agent compares results

3. Dynamic Unblocking

Agent adapts to blocks in real-time without restarting.

Example workflow:

1. Agent calls session_start without proxy rules (all traffic goes direct)
2. Agent encounters a block on example.com
3. Agent calls session_set_rules with "example.com" to add it to proxy rules
4. Agent retries the request — now routed through Aluvia
5. Request succeeds

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Why Aluvia

The Problem: Websites block datacenter IPs (AWS, GCP, Azure) because they're commonly used by bots. This breaks AI agents that need web access.

The Solution: Aluvia routes traffic through real US mobile carrier IPs — the same IPs used by millions of people on AT&T, T-Mobile, and Verizon. Websites can't distinguish these requests from legitimate mobile users.

Key Features:

• Automatic block detection — detects 403s, CAPTCHAs, WAFs, and Cloudflare challenges
• Auto-unblocking — when blocked, Aluvia reroutes through mobile IPs and reloads the page
• Smart routing — only proxy sites that need it; everything else goes direct (saves cost and latency)
• Runtime rule updates — add sites to proxy rules on the fly, no restarts
• IP rotation — rotate IPs or target specific US regions at runtime
• CDP debugging — get Chrome DevTools Protocol URLs for remote debugging

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Links

• Homepage: aluvia.io
• Documentation: docs.aluvia.io
• Dashboard: dashboard.aluvia.io
• GitHub (Node.js SDK): github.com/aluvia-connect/sdk-node
• GitHub (Python SDK): github.com/aluvia-connect/sdk-python
• MCP Protocol: modelcontextprotocol.io

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License

MIT License — see LICENSE for details.