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@TahaBakhtari

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The Torobjo MCP Server is a powerful implementation of the Model Context Protocol (MCP) 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 per

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This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

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Overview

What is Torobjo MCP Server?

A production-grade MCP server that combines Torob.com product search for Persian-language products with Instagram content analysis. Built on FastMCP and designed for Claude Sonnet integration.

How to use Torobjo MCP Server?

Install and configure the server to expose its two core endpoints: search_torob for Torob product queries and get_instagram_caption for Instagram caption extraction. Use Claude or any MCP client to invoke these tools.

Key features of Torobjo MCP Server

Full MCP protocol support with all core specifications
Dual-mode operation: Torob search and Instagram processing
Optimized for Claude Sonnet integration
Automatic retry mechanisms and comprehensive error handling
Rate limiting protection for enterprise reliability
Modular tool design with unified JSON API

Use cases of Torobjo MCP Server

Search Persian products on Torob.com with price filtering and pagination
Extract Instagram captions from posts using headless browser automation
Build Claude-powered assistants that query Iranian e-commerce data
Automate social media content analysis alongside product lookup

Frequently asked questions

What endpoints does Torobjo MCP Server provide?

Two core endpoints: `search_torob` for Torob.com product search and `get_instagram_caption` for Instagram caption extraction.

Is the product search optimized for Persian language?

Yes, the Torob search endpoint is Persian-language optimized and supports pagination and price filtering.

What error handling mechanisms are in place?

The server includes automatic retry mechanisms, comprehensive error handling, and rate limiting protection for production reliability.

How does Instagram caption extraction work?

It uses headless browser automation with multiple fallback selectors to robustly extract captions, including error recovery.

Comments

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