Torobjomcp
What is Torobjomcp
TorobjoMCP is a powerful implementation of the Model Context Protocol (MCP) designed for product search and Instagram analysis. It integrates with the Torob API for product searches and extracts captions from Instagram, featuring a modular design for easy use and optimized performance.
Use cases
Use cases include integrating product search functionalities into online stores, analyzing Instagram content for marketing insights, and automating data extraction processes for research and analytics.
How to use
To use TorobjoMCP, follow the tutorial video available here which guides you through the process of creating and deploying an MCP server.
Key features
Key features include full MCP protocol support, dual-mode operation for product search and Instagram content processing, Claude-optimized design, enterprise-grade reliability with automatic retries and error handling, and a modular tool design with a unified JSON API.
Where to use
TorobjoMCP can be used in e-commerce platforms for product searches, social media analysis, and any application requiring high-performance data processing and model communication.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Torobjomcp
TorobjoMCP is a powerful implementation of the Model Context Protocol (MCP) designed for product search and Instagram analysis. It integrates with the Torob API for product searches and extracts captions from Instagram, featuring a modular design for easy use and optimized performance.
Use cases
Use cases include integrating product search functionalities into online stores, analyzing Instagram content for marketing insights, and automating data extraction processes for research and analytics.
How to use
To use TorobjoMCP, follow the tutorial video available here which guides you through the process of creating and deploying an MCP server.
Key features
Key features include full MCP protocol support, dual-mode operation for product search and Instagram content processing, Claude-optimized design, enterprise-grade reliability with automatic retries and error handling, and a modular tool design with a unified JSON API.
Where to use
TorobjoMCP can be used in e-commerce platforms for product searches, social media analysis, and any application requiring high-performance data processing and model communication.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Watch the tutorial video on how to create an MCP server from here.
ویدیو آموزش ساخت سرور MCP را از اینجا ببینید.
Torobjo MCP Server
A production-grade MCP (Model Context Protocol) server implementation that combines Torob product search with Instagram content analysis capabilities. Built on FastMCP for high-performance model communication and data processing.
Key Technical Features
- Full MCP Protocol Support: Implements all core Model Context Protocol specifications
- Dual-Mode Operation:
- Direct Torob.com API integration for Persian product search
- Instagram content processing pipeline
- Claude-Optimized: Designed specifically for Claude Sonnet integration
- Enterprise-Grade Reliability:
- Automatic retry mechanisms
- Comprehensive error handling
- Rate limiting protection
Architecture Highlights
- FastMCP Core: Leverages the high-performance FastMCP implementation
- Modular Tool Design: Each service exposed as independent MCP endpoints
- Unified Interface: Consistent JSON API for all operations
- Scalable: Built to handle high-volume requests
Core Endpoints
Product Search (search_torob)
- Full Torob.com API coverage
- Persian language optimized
- Pagination support
- Price filtering
Instagram Processing (get_instagram_caption)
- Robust caption extraction
- Multiple fallback selectors
- Headless browser automation
- Error recovery
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
