by z_ai
Web Search MCP Server delivers powerful Z.AI web search and real-time info retrieval for MCP-compatible clients like Cla
★ 79.9K
GitHub stars
Provides Z.AI-powered web search and real-time information retrieval for MCP-compatible clients like Claude and Cline.
Web Search is an official MCP server published by z_ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Web Search MCP Server delivers powerful Z.AI web search and real-time info retrieval for MCP-compatible clients like Cla It is categorized under search web.
You can install Web Search 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 supports remote connections over HTTP, so no local installation is required.
MIT
Web Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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
Share your MCP server with the developer community
Web Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Web Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Web Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Web Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Web Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Web Search against two servers with overlapping tools; this profile had the clearer scope statement.
Web Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired Web Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Web Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We evaluated Web Search against two servers with overlapping tools; this profile had the clearer scope statement.
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Web Reader
Web Reader MCP Server — Z.AI MCP for powerful web content extraction: full-page retrieval and structured data for Claude
★ 79.9K
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
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
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.