TongXiao IQS
OfficialProvides enhanced real-time web search through TongXiao's IQS APIs that deliver clean, accurate results from multiple data sources optimized with large language models.
Integrates with TongXiao's IQS APIs to provide enhanced real-time web search capabilities that deliver clean, accurate, and diverse results through multiple data sources optimized with large language models.
What it does
- Search real-time web content
- Query multiple data sources simultaneously
- Retrieve clean and accurate search results
- Access diverse vertical data sources
- Get LLM-optimized search responses
Best for
About TongXiao IQS
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, clean results. It is categorized under search web.
How to install
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.
License
TongXiao IQS is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
TongXiao Common Search MCP Server
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.
Installation
NPM Installation
npm install -g @tongxiao/common-search-mcp-server
Running with npx
# 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
Running on client
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": ""
}
}
}
}
Available Tools
- common_search This tool offers enhanced real-time search capabilities for open domain networks. By utilizing optimization with large models and integrating multiple data sources, it delivers clean, accurate, diverse, and high-quality results.
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.
Alternatives
Related Skills
Browse all skillsOfficial Google SEO guide covering search optimization, best practices, Search Console, crawling, indexing, and improving website search visibility based on official Google documentation
Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".
Create user-centered, accessible interface copy (microcopy) for digital products including buttons, labels, error messages, notifications, forms, onboarding, empty states, success messages, and help text. Use when writing or editing any text that appears in apps, websites, or software interfaces, designing conversational flows, establishing voice and tone guidelines, auditing product content for consistency and usability, reviewing UI strings, or improving existing interface copy. Applies UX writing best practices based on four quality standards — purposeful, concise, conversational, and clear. Includes accessibility guidelines, research-backed benchmarks (sentence length, comprehension rates, reading levels), expanded error patterns, tone adaptation frameworks, and comprehensive reference materials.
This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses DuckDuckGo's search API to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.
Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications. Triggers include "browse", "navigate to", "go to website", "extract data from webpage", "screenshot", "web scraping", "fill out form", "click on", "search for on the web". When taking actions be as specific as possible.
Manage Zotero reference libraries via the Web API. Search, list, add items by DOI/ISBN/PMID (with duplicate detection), delete/trash items, update metadata and tags, export in BibTeX/RIS/CSL-JSON, batch-add from files, check PDF attachments, cross-reference citations, find missing DOIs via CrossRef, and fetch open-access PDFs. Supports --json output for scripting. Use when the user asks about academic references, citation management, literature libraries, PDFs for papers, bibliography export, or Zotero specifically.