TongXiao IQS delivers real-time, accurate web search by integrating IQS APIs and advanced language models for diverse, c
Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
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Access the Scrapeless Google Search API for customizable queries by text, country, or language. Easily integrate with cu
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Web Fetcher uses Playwright for reliable data web scraping and extraction from JavaScript-heavy websites, returning clea
OpenAI o3 Search
Leverage OpenAI o3 Search for advanced web results, outperforming Bing AI and other engines with unrivaled AI search cap
We evaluated TongXiao IQS against two servers with overlapping tools; this profile had the clearer scope statement.
TongXiao IQS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
TongXiao IQS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
TongXiao IQS is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
TongXiao IQS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: TongXiao IQS is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated TongXiao IQS against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, TongXiao IQS benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
TongXiao IQS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, TongXiao IQS benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Claude Desktop configuration
{
"mcpServers": {
"tongxiao-common-search": {
"command": "npx",
"args": [
"-y",
"@tongxiao/common-search-mcp-server"
],
"env": {
"TONGXIAO_API_KEY": ""
}
}
}
}Provides enhanced real-time web search through TongXiao's IQS APIs that deliver clean, accurate results from multiple data sources optimized with large language models.
TongXiao IQS is an official MCP server published by aliyun that provides AI assistants with tools and capabilities via the Model Context Protocol. TongXiao IQS delivers real-time, accurate web search by integrating IQS APIs and advanced language models for diverse, c It is categorized under search web.
You can install TongXiao IQS in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
A Model Context Protocol (MCP) server implementation that integrates with IQS APIs, which delivers clean, accurate, diverse, and high-quality results through multiple data sources. For more Information about TongXiao, please visit our documents.
npm install -g @tongxiao/common-search-mcp-server
# run stdio server
env TONGXIAO_API_KEY=your-api-key npx -y @tongxiao/common-search-mcp-server
# run sse server
env TONGXIAO_API_KEY=your-api-key SERVER=sse npx -y @tongxiao/common-search-mcp-server
You can find your apikey from ipaas.console.aliyun.com/api-key
Configure Tongxiao MCP Server directly on mainstream MCP Client.
{
"mcpServers": {
"tongxiao-common-search": {
"command": "npx",
"args": [
"-y",
"@tongxiao/common-search-mcp-server"
],
"env": {
"TONGXIAO_API_KEY": ""
}
}
}
}
Best for: When you are unsure where to find information, use this interface to obtain accurate information from the web or multiple vertical data sources.
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.