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Torobjomcp
A production-level MCP server implementation that integrates Torob product search and Instagram content analysis functions. It is built on high-performance FastMCP, supports the full MCP protocol specification, and features dual-mode operation and modular design.
rating : 2.5 points
downloads : 28
What is the Torobjo MCP Server?
The Torobjo MCP Server is a server implementation based on the Model Context Protocol (MCP). It integrates the product search function of Torob.com and the Instagram content analysis ability. This server aims to provide developers with efficient data processing and model communication capabilities.How to use the Torobjo MCP Server?
You can use the server functions by calling the provided API endpoints, which mainly include two major types of services: product search and Instagram content processing. The server provides a unified JSON interface, which is easy to integrate into various applications.Applicable scenarios
Suitable for applications that need to integrate e-commerce product search and social media content analysis, such as price comparison tools and social media marketing analysis tools.Main features
Full MCP protocol supportImplements all core Model Context Protocol specifications
Dual-mode operationSupports two working modes: Torob.com API integration and Instagram content processing
Claude optimizationSpecifically designed for Claude Sonnet integration
Enterprise-level reliabilityIncludes an automatic retry mechanism, comprehensive error handling, and rate limit protection
Advantages and limitations
Advantages
High-performance FastMCP core implementation
Modular tool design, with each service as an independent MCP endpoint
Unified JSON API interface, easy to integrate
Scalable architecture, suitable for handling high-traffic requests
Limitations
The Torob search function is mainly targeted at the Persian market
Instagram processing depends on the stability of third-party platform APIs
Requires certain technical knowledge for integration
How to use
Set up the server
Set up the MCP server according to the steps in the tutorial video
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Call the API endpoints
Call the corresponding API endpoints according to your needs
Process the returned results
Parse the JSON-formatted data returned by the server
Usage examples
Product price comparisonSearch for price information of specific products from different merchants
Social media analysisExtract Instagram post content for analysis
Frequently Asked Questions
What kind of technical knowledge is required to use this server?
Which languages does the server support?
How to handle the situation where an API request fails?
Related resources
MCP server creation tutorial video
A step-by-step video tutorial on how to create an MCP server
FastMCP documentation
Official documentation for the FastMCP core implementation
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