The Torobjo MCP Server combines Torob product search capabilities with Instagram content analysis in a high-performance Model Context Protocol implementation. Built on FastMCP, it's specifically optimized for Claude Sonnet integration while providing enterprise-grade reliability.
git clone https://github.com/username/torobjo-mcp-server.git
cd torobjo-mcp-server
python -m venv venv
# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate
pip install -r requirements.txt
Create a .env
file in the root directory with the following variables:
TOROB_API_KEY=your_torob_api_key
INSTAGRAM_USERNAME=your_instagram_username
INSTAGRAM_PASSWORD=your_instagram_password
MCP_PORT=8000
To start the MCP server:
python server.py
By default, the server runs on port 8000 (or the port specified in your environment variables).
The search_torob
endpoint allows you to search for products on Torob.com.
Example request:
{
"name": "search_torob",
"input": {
"query": "گوشی سامسونگ",
"page": 1,
"min_price": 5000000,
"max_price": 15000000
}
}
Parameters:
query
: The search term (Persian language supported)page
: Page number for paginated results (optional)min_price
: Minimum price filter (optional)max_price
: Maximum price filter (optional)The get_instagram_caption
endpoint extracts captions from Instagram posts.
Example request:
{
"name": "get_instagram_caption",
"input": {
"post_url": "https://www.instagram.com/p/EXAMPLE_POST_ID/"
}
}
Parameters:
post_url
: Full URL to the Instagram postYou can chain both services together for complex operations. For example:
{
"operations": [
{
"name": "get_instagram_caption",
"input": {
"post_url": "https://www.instagram.com/p/EXAMPLE_POST_ID/"
}
},
{
"name": "search_torob",
"input": {
"query": "{result_from_previous_operation}",
"page": 1
}
}
]
}
The server logs important events to help with debugging. Check the console output or log files for error messages and operation status.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "torobjomcp" '{"command":"npx","args":["-y","torobjomcp"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"torobjomcp": {
"command": "npx",
"args": [
"-y",
"torobjomcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"torobjomcp": {
"command": "npx",
"args": [
"-y",
"torobjomcp"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect