open-webSearch
Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.
Install open-webSearch in your MCP client
open-webSearch is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.
- Locate your client's MCP config file.
- Cursor:
~/.cursor/mcp.json - Claude Desktop (macOS):
~/Library/Application Support/Claude/claude_desktop_config.json - Claude Desktop (Windows):
%APPDATA%\Claude\claude_desktop_config.json - VS Code:
Settings → Extensions → MCP - Windsurf:
Settings → MCP Servers
- Cursor:
- Add open-webSearch to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing
mcpServersobject. - Restart your client so it picks up the new server.
- Verify — ask the assistant to list available tools; open-webSearch's tools should appear.
{
"mcpServers": {
"open-websearch": {
"command": "npx",
"args": [
"-y",
"@open-websearch/mcp-server"
],
"note": "Replace with the actual package name from the server's documentation."
}
}
}Install open-webSearch in Cursor
Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. open-webSearch will show up in the assistant's tool list on next launch.
Install open-webSearch in Claude Desktop (macOS)
Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). open-webSearch will show up in the assistant's tool list on next launch.
Install open-webSearch in Claude Desktop (Windows)
Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). open-webSearch will show up in the assistant's tool list on next launch.
Install open-webSearch in VS Code
Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. open-webSearch will show up in the assistant's tool list on next launch.
Tools exposed by open-webSearch
Once installed, open-webSearch exposes the following MCP tools to your AI assistant. Each tool can be called directly by the assistant whenever its capability is relevant to your prompt.
searchSearch tool for querying multiple search engines.
fetchLinuxDoArticleFetch complete content of Linux.do forum articles.
fetchCsdnArticleFetch complete content of CSDN blog articles.
fetchGithubReadmeFetch README content from GitHub repositories.
fetchJuejinArticleFetch complete content of Juejin articles.
fetchWebContentFetch content directly from public HTTP(S) links.
Transport
open-webSearch supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.
Platform compatibility
open-webSearch is reported to run on:
More automate.browser.scraping MCP servers
Other Model Context Protocol servers in the same space as open-webSearch. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.
wigolo
Local-first web intelligence MCP server for AI coding agents
kimiflare
A terminal coding agent powered by multiple models (Kimi-K2.6, Claude, GPT-5, Gemini, Llama, Groq), routed through your own Cloudflare AI Gateway — per-request logs, response caching, authoritative cost. Web search, GitHub, headless browser, LSP, MCP, loc
mcp-accessibility-scanner
A Model Context Protocol (MCP) server for performing automated accessibility scans of web pages using Playwright and Axe-core
rankparse-mcp
SEO MCP server — backlinks, domain authority, tech stack, and 18+ tools via Common Crawl.
multi-scraper-mcp
12 web scraping tools for AI agents: Reddit, Amazon, eBay, Google Maps, Yelp, YouTube, TikTok
tavily-mcp
MCP server for advanced web search using Tavily
html-scraper-mcp
MCP server for HTML scraping and data extraction using Puppeteer
search1api-mcp
A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API
Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.