Open Websearch

SSE

by Aas-ee

1.2k downloads Not rated yet

About

Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.

Details

Transport
SSE

Explore

- Web search using multi-engine results
- bing
- baidu
- ~~linux.do~~ temporarily unsupported
- csdn
- duckduckgo
- exa
- brave
- HTTP proxy configuration support for accessing restricted resources
- No API keys or authentication required
- Returns structured results with titles, URLs, and descriptions
- Configurable number of results per search
- Customizable default search engine
- Support for fetching individual article content
- csdn

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Open Websearch
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

search

Search the web using multiple engines (e.g., Baidu, Bing, DuckDuckGo, CSDN, Exa, Brave, Juejin(掘金)) with no API key required

fetchLinuxDoArticle

Fetch full article content from a linux.do post URL

fetchCsdnArticle

Fetch full article content from a csdn post URL

fetchGithubReadme

Fetch README content from a GitHub repository URL

fetchWebContent

Fetch content from a public HTTP(S) URL (supports Markdown files and normal web pages)

fetchJuejinArticle

Fetch full article content from a Juejin(掘金) post URL

``typescript
{
"query": string, // Search query
"limit": number, // Optional: Number of results to return (default: 10)
"engines": string[] // Optional: Engines to use (bing,baidu,linuxdo,csdn,duckduckgo,exa,brave) default bing
}
`

Usage example:
`typescript
use_mcp_tool({
server_name: "web-search",
tool_name: "search",
arguments: {
query: "search content",
limit: 3, // Optional parameter
engines: ["bing", "csdn", "duckduckgo", "exa", "brave"] // Optional parameter, supports multi-engine combined search
}
})
`

Response example:
`json
[
{
"title": "Example Search Result",
"url": "https://example.com",
"description": "Description text of the search result...",
"source": "Source",
"engine": "Engine used"
}
]


Used to fetch complete content of CSDN blog articles.

typescript
{
"url": string // URL from CSDN search results using the search tool
}
`

Usage example:
`typescript
use_mcp_tool({
server_name: "web-search",
tool_name: "fetchCsdnArticle",
arguments: {
url: "https://blog.csdn.net/xxx/article/details/xxx"
}
})
`

Response example:
`json
[
{
"content": "Example search result"
}
]

Used to fetch complete content of Linux.do forum articles.

typescript
{
"url": string // URL from linuxdo search results using the search tool
}
`

Usage example:
`typescript
use_mcp_tool({
server_name: "web-search",
tool_name: "fetchLinuxDoArticle",
arguments: {
url: "https://xxxx.json"
}
})
`

Response example:
`json
[
{
"content": "Example search result"
}
]
``

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "open websearch": {
            "open-webSearch": {
                "command": "docker",
                "args": [
                    "run",
                    "-d",
                    "--name",
                    "web-search",
                    "-p",
                    "3000:3000",
                    "-e",
                    "ENABLE_CORS=true",
                    "-e",
                    "CORS_ORIGIN=*",
                    "ghcr.io/aas-ee/open-web-search:latest"
                ]
            }
        }
    }
}

McpServers

{
    "open-webSearch": {
        "command": "docker",
        "args": [
            "run",
            "-d",
            "--name",
            "web-search",
            "-p",
            "3000:3000",
            "-e",
            "ENABLE_CORS=true",
            "-e",
            "CORS_ORIGIN=*",
            "ghcr.io/aas-ee/open-web-search:latest"
        ]
    }
}
A Model Context Protocol (MCP) server based on multi-engine search results, supporting free web search without API keys.

Features

- Web search using multi-engine results - bing - baidu - ~~linux.do~~ temporarily unsupported - csdn - duckduckgo - exa - brave - HTTP proxy configuration support for accessing restricted resources - No API keys or authentication required - Returns structured results with titles, URLs, and descriptions - Configurable number of results per search - Customizable default search engine - Support for fetching individual article content - csdn

TODO

- Support for ~~Bing~~ (already supported), ~~DuckDuckGo~~ (already supported), ~~Exa~~ (already supported), ~~Brave~~ (already supported), Google and other search engines - Support for more blogs, forums, and social platforms - Optimize article content extraction, add support for more sites

Installation Guide

Local Installation

1. Clone or download this repository 2. Install dependencies: ``bash npm install ` 3. Build the server: `bash npm run build ` 4. Add the server to your MCP configuration: Cherry Studio: `json { "mcpServers": { "web-search": { "name": "Web Search MCP", "type": "streamableHttp", "description": "Multi-engine web search with article fetching", "isActive": true, "baseUrl": "http://localhost:3000/mcp" } } } ` VSCode (Claude Dev Extension): `json { "mcpServers": { "web-search": { "transport": { "type": "streamableHttp", "url": "http://localhost:3000/mcp" } }, "web-search-sse": { "transport": { "type": "sse", "url": "http://localhost:3000/sse" } } } } ` Claude Desktop: `json { "mcpServers": { "web-search": { "transport": { "type": "streamableHttp", "url": "http://localhost:3000/mcp" } }, "web-search-sse": { "transport": { "type": "sse", "url": "http://localhost:3000/sse" } } } } `

Docker Deployment

Quick deployment using Docker Compose:
`bash docker-compose up -d ` Or use Docker directly: `bash docker run -d --name web-search -p 3000:3000 -e ENABLE_CORS=true -e CORS_ORIGIN=* ghcr.io/aas-ee/open-web-search:latest ` Environment variable configuration: ``bash
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