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TahaBakhtari

Torobjo MCP Server

MCP Server

Fast, dual-mode product search and Instagram content analysis

Stale(50)
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Updated 21 days ago

About

A production-grade MCP server that combines Torob product search with Instagram caption extraction, built on FastMCP for high-performance model communication and Claude Sonnet compatibility.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Torobjo MCP Server in Action

Overview

Torobjo MCP Server is a production‑grade Model Context Protocol (MCP) implementation that bridges two high‑value data sources: the Persian e‑commerce platform Torob.com and Instagram. By exposing these services through a unified MCP interface, the server allows AI assistants such as Claude to query product listings and analyze social‑media content with a single, consistent API call. This dual‑mode capability solves the common developer pain point of integrating disparate third‑party services into a conversational AI workflow, eliminating the need for custom adapters or multiple SDKs.

What It Does and Why It Matters

The server implements the full MCP specification, ensuring seamless communication with Claude Sonnet and other MCP‑aware assistants. It offers direct Torob.com API integration for Persian product search, including pagination, price filtering, and full language optimization. Simultaneously, it provides an Instagram content processing pipeline that extracts captions using headless browser automation and robust selector fallbacks. For developers, this means they can ask an AI assistant to “find the cheapest Persian kitchenware on Torob” or “give me the caption for a specific Instagram post,” and receive accurate, structured responses without writing custom scraping logic.

Key Features Explained

  • Full MCP Protocol Support – Guarantees compatibility with any MCP‑compliant client, simplifying integration.
  • Dual‑Mode Operation – Two independent endpoints ( and ) share a single, consistent JSON interface.
  • Claude‑Optimized – Built with Claude Sonnet in mind, the server’s responses are tailored for the assistant’s prompt‑engineering patterns.
  • Enterprise Reliability – Automatic retries, detailed error handling, and rate‑limiting safeguards protect against transient failures and API abuse.
  • Scalable Architecture – Powered by FastMCP, the server can handle high request volumes with low latency.

Real‑World Use Cases

  • E‑commerce Assistants – A shopping chatbot can instantly search Torob for products, filter by price or category, and present results to users.
  • Social Media Analytics – Marketing teams can retrieve Instagram captions for brand monitoring or sentiment analysis without manual scraping.
  • Multilingual Commerce Bots – The Persian‑optimized search makes it ideal for regional markets where language nuances are critical.
  • Rapid Prototyping – Startups can prototype AI‑powered commerce features quickly by leveraging the pre‑built MCP endpoints instead of building custom integrations.

Integration with AI Workflows

Developers embed the server’s MCP endpoints into their prompt templates or tool chains. Because each operation is exposed as a discrete tool, an AI assistant can invoke or as needed, receiving structured JSON that can be directly rendered in UI components or fed into downstream analytics pipelines. The server’s consistent error handling and retry logic ensure that the assistant can gracefully handle transient network issues, improving overall user experience.

Unique Advantages

Torobjo MCP Server stands out by combining e‑commerce search and social media content analysis in a single, high‑performance MCP stack. Its focus on Persian language optimization and Instagram headless automation provides niche value that generic MCP servers rarely cover. By delivering these capabilities through a unified, Claude‑friendly interface, it accelerates the development of localized AI assistants and data‑driven applications.