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Coronium Proxy MCP Documentation

An overview of Coronium Proxy MCP, a TypeScript implementation of the Model Context Protocol for AI-powered proxy management.

Introduction

Centralized Management

Manage proxies from a single interface through the Coronium Dashboard

AI Integration

Seamless integration with Claude and other AI models through the MCP protocol

API-First Design

Comprehensive API for programmatic control and automation

Key Features

Coronium Proxy MCP is currently in development. Here are the key features we're working on:

Natural Language Control
Control proxies using natural language

Control and manage proxies using natural language commands through AI models like Claude

Multiple Transport Methods
STDIO and HTTP support

Support for STDIO transport (for Claude Desktop) and HTTP transport (for web applications)

Proxy Management
Complete proxy lifecycle management

List, purchase, configure, and monitor proxies through a unified interface

TypeScript Implementation
Modern, type-safe codebase

Fully typed implementation with modern JavaScript practices for reliability and maintainability

MCP Protocol

The Model Context Protocol (MCP) is a standardized way for AI models to interact with external tools and services. Coronium Proxy MCP implements this protocol to enable AI models to manage proxy infrastructure.

Protocol Overview
How MCP enables AI-tool interaction

MCP defines a structured format for tool calls and responses, allowing AI models to:

  • Discover available tools and their capabilities
  • Make tool calls with structured parameters
  • Receive structured responses from tools
  • Access resources through standardized URIs
STDIO Transport

Used for direct integration with Claude Desktop and other CLI-based AI models

HTTP Transport

RESTful API for integration with web applications and services

Integration

Coronium Proxy MCP is designed to integrate with various AI models and systems. Here's a high-level overview of the integration process:

Claude Desktop Integration
Launch Claude with MCP server
claude-desktop --mcp=stdio --mcp-command="node /path/to/coronium-proxy-mcp/dist/index.js"

Use Cases

Coronium Proxy MCP enables a range of use cases for AI-powered proxy management:

AI-Powered Web Scraping
Intelligent data collection

Enable AI agents to manage proxies for web scraping tasks, automatically rotating IPs and handling geo-restrictions

Cross-Border E-Commerce
Global market verification

Verify product listings and prices in multiple international markets using country-specific proxies

Automated Account Management
Multi-account operations

Create and manage accounts on various platforms using proxies to avoid detection and restrictions

AI Agent Infrastructure
Reliable web access for AI

Provide reliable proxy infrastructure for AI agents that need to interact with web services

Development Roadmap

Coronium Proxy MCP is currently in active development. Here's our planned roadmap:

Current Phase: Alpha
  • Core MCP protocol implementation
  • Basic proxy management functionality
  • Claude Desktop integration via STDIO transport
  • Initial HTTP API endpoints
Upcoming: Beta
  • Enhanced proxy management capabilities
  • Improved error handling and reliability
  • Expanded API functionality
  • Additional AI model integrations
  • Developer documentation and examples
Future: Release
  • Production-ready implementation
  • Comprehensive documentation
  • SDK libraries for multiple programming languages
  • Advanced proxy management features
  • Enterprise-grade security and reliability
Get Involved
Join the Coronium community

Coronium Proxy MCP is an evolving project, and we welcome community involvement. If you're interested in contributing or providing feedback, please reach out to us.