# SERPdive Web Search

Connects web search to MCP clients with extracted, clean page content sized for LLMs. Useful when your agent needs current facts without drowning context in raw markup.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: serpdive
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/serpdive/serpdive-mcp
- Updated: 2026-07-25
- HTML: https://affpapa.org/en/nevibecode/mcp/serpdive-web-search

## What it does

The server exposes a single tool called `serpdive_search`. It handles incoming search queries in any language with automatic localization. Instead of dumping raw HTML, the backend extracts the relevant text from top pages and returns a clean JSON payload containing titles, links, timestamps, and extracted content. The engine deliberately skips generating a final answer, letting your model synthesize results directly without an extra network round-trip.

Search requests run against two models. By default, `mako` extracts the primary factual sentences from each result, consuming 1 credit. The `moby` alternative costs 1.5 credits and returns entire page texts, which takes about one additional second. For general question answering, `moby` bloats the context window with unnecessary tokens.

You can connect via the hosted endpoint at `https://mcp.serpdive.com/mcp` or run locally with `npx -y serpdive-mcp`. Local execution uses Node.js and requires a `SERPDIVE_API_KEY`, which is available without entering payment card details.

## Requirements
- Needs: Node.js (commands run via npx)
- Remote server: `https://mcp.serpdive.com/mcp`
- Environment variables: `SERPDIVE_API_KEY` — keys and tokens: ask the human for the values, never commit them or put them in shared files.

## Install

### Claude Code (native platform)

1. **Platform CLI: remote server**
```bash
claude mcp add --transport http serpdive-mcp https://mcp.serpdive.com/mcp
```

2. **Platform CLI**
```bash
claude mcp add --env SERPDIVE_API_KEY=<SERPDIVE_API_KEY> --transport stdio serpdive-web-search -- npx -y serpdive-mcp
```
Replace <…> with your own values

### Codex

1. **Platform CLI: remote server**
```bash
codex mcp add serpdive-web-search --url https://mcp.serpdive.com/mcp
```

2. **Platform CLI**
```bash
codex mcp add serpdive-web-search --env SERPDIVE_API_KEY=<SERPDIVE_API_KEY> -- npx -y serpdive-mcp
```
Replace <…> with your own values

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "serpdive-web-search": {
            "url": "https://mcp.serpdive.com/mcp"
        }
    }
}
```
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "serpdive-web-search": {
            "command": "npx",
            "args": [
                "-y",
                "serpdive-mcp"
            ],
            "env": {
                "SERPDIVE_API_KEY": "<SERPDIVE_API_KEY>"
            }
        }
    }
}
```
Replace <…> with your own values

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "serpdive-web-search": {
            "type": "http",
            "url": "https://mcp.serpdive.com/mcp"
        }
    }
}
```
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "serpdive-web-search": {
            "type": "stdio",
            "command": "npx",
            "args": [
                "-y",
                "serpdive-mcp"
            ],
            "env": {
                "SERPDIVE_API_KEY": "<SERPDIVE_API_KEY>"
            }
        }
    }
}
```
Replace <…> with your own values

### Gemini CLI

1. **Platform CLI: remote server**
```bash
gemini mcp add -t http serpdive-web-search https://mcp.serpdive.com/mcp
```

2. **Platform CLI**
```bash
gemini mcp add -e SERPDIVE_API_KEY=<SERPDIVE_API_KEY> serpdive-web-search npx -y serpdive-mcp
```
Replace <…> with your own values

## When to use it
- retrieve up-to-date web information directly from agent prompts
- extract clean article content without clutter or raw HTML tags
- reduce token consumption when pulling external reference materials
- provide verified factual excerpts for model summarization

## Example prompts
- Run `serpdive_search` to find recent changes in the Node.js 22 runtime.
- Check recent developments in quantum computing using the `mako` model.
- Retrieve full article text for deep research on distributed databases with `moby`.

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