网页搜索与提取MCP服务

Serpex MCP

A Model Context Protocol (MCP) server that gives AI agents web search and page extraction through Serpex. Serpex is a web search API and extract API for AI agents. Search returns ranked web results, optionally with page content as markdown; Extract turns known URLs into clean markdown. Serpex runs its own search engine.

Features

✅ Web Search: Ranked web results, nothing to configure
✅ Page Content: Optionally fetch the top results' pages as markdown in the same call
✅ Structured Results: Clean, consistent JSON responses
✅ Easy Integration: Works with Claude Desktop, Jan AI, and any MCP-compatible client

Installation

Quick Start (npx - Recommended)

No installation needed! Use npx to run directly:

npx serpex-mcp

Global Installation

npm install -g serpex-mcp

Local Installation

npm install serpex-mcp

Usage

With Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "serpex": {
      "command": "npx",
      "args": ["-y", "serpex-mcp"],
      "env": {
        "SERPEX_API_KEY": "your-api-key-here"
      }
    }
  }
}

With Other MCP Clients

Any MCP-compatible client can use this server. Configure it with:

• Command: npx
• Arguments: -y serpex-mcp
• Environment: SERPEX_API_KEY=your-key

Standalone

export SERPEX_API_KEY="your-api-key-here"
serpex-mcp

Available Tools

serpex_search

Search the web with Serpex. Optionally fetches full page content (markdown) for the top results inline with the search — best-effort, so check each result for content vs content_error.

Parameters:

• q (required): Search query string (max 500 characters)
• include_content (optional, boolean): Also fetch full page content (markdown) for the top results. Best-effort — pages that can't be extracted return content_error instead. Default: false.
• content_results (optional, 5 | 10): Number of top results to fetch content for, when include_content is true. Must be exactly 5 or 10. Default: 5.

Example:

{
  "q": "artificial intelligence trends 2025",
  "include_content": true,
  "content_results": 5
}

Response (JSON, as tool output text) includes status (success or no_results), total_results, credits_used, a message when nothing was found, content_requested / content_delivered counts and, per result, content on success or content_error on failure — both keys are omitted when content wasn't requested.

serpex_extract

Extract the content of known web pages as clean markdown (or HTML).

Parameters:

• urls (required): 1 to 10 absolute http(s) URLs.
• format (optional, markdown | html): Output format. Default: markdown.

Example:

{
  "urls": ["https://example.com/pricing"],
  "format": "markdown"
}

Response (JSON, as tool output text) includes successful, failed, credits_used and, per URL, success plus markdown / html, or error when the page could not be extracted. Extract calls can take up to about a minute, so the server waits up to 100 s.

Getting Your API Key

1. Visit serpex.dev
2. Sign up for a free account
3. Get your API key from the dashboard
4. Use it in the SERPEX_API_KEY environment variable

API Information

• Base URL: https://api.serpex.dev
• Documentation: https://serpex.dev/docs
• Pricing: Free tier available, affordable paid plans

Development

Build from Source

git clone https://github.com/divyeshradadiya/serpex-mcp.git
cd serpex-mcp
pnpm install
pnpm build

Run Tests

export SERPEX_API_KEY="your-key-here"
pnpm test

License

MIT

Links

• Serpex Website
• Serpex Documentation
• Model Context Protocol
• MCP Specification