feat: add Serpex MCP server integration

docs/src/pages/docs/desktop/mcp-examples/search/_meta.json

@@ -4,5 +4,8 @@
   },
   "serper": {
     "title": "Serper Search"
+  },
+  "serpex": {
+    "title": "Serpex Search"
   }
 }

docs/src/pages/docs/desktop/mcp-examples/search/serpex.mdx

@@ -0,0 +1,199 @@
+---
+
+title: Serpex Search MCP
+
+description: Connect Jan to multi-engine web search with structured JSON results through Serpex API.
+
+keywords:
+
+  [
+    Jan,
+    MCP,
+    Model Context Protocol,
+    Serpex,
+    Google search API,
+    Real-time Search API,
+    MCP Web search,
+    SERP API,
+    multi-engine search,
+    web search,
+    real-time search,
+    tool calling,
+    Jan v1,
+    Google search,
+    Bing search,
+    DuckDuckGo,
+    Brave search,
+  ]
+
+---
+
+import { Callout, Steps } from 'nextra/components'
+
+# Serpex Search MCP
+
+[Serpex](https://serpex.dev) provides unified access to multiple search engines (Google, Bing, DuckDuckGo, Brave, Yahoo, Yandex) through a single API, making it perfect for giving AI models access to real-time web information with automatic engine routing and structured JSON results.
+
+## Available Tools
+
+- `serpex_search`: Search across multiple engines with automatic routing and time filtering
+
+## Prerequisites
+
+- Jan with experimental features enabled
+- Serpex API key from [serpex.dev](https://serpex.dev)
+- Model with tool calling support (recommended: Jan v1)
+
+<Callout type="info">
+Serpex offers 200 free credits to get started, with requests starting at just $0.0008 each. The API handles retries, blocking and captchas automatically.
+</Callout>
+
+## Setup
+
+### Enable Experimental Features
+
+1. Go to **Settings** > **General**
+2. Toggle **Experimental Features** ON
+
+![Enable experimental features](../../_assets/enable_mcp.png)
+
+### Enable MCP
+
+1. Go to **Settings** > **MCP Servers**
+2. Toggle **Allow All MCP Tool Permission** ON
+
+![Turn on MCP](../../_assets/turn_on_mcp.png)
+
+### Get Serpex API Key
+
+1. Visit [serpex.dev](https://serpex.dev)
+2. Sign up for an account
+3. Navigate to your dashboard
+4. Copy your API key
+
+### Configure MCP Server
+
+Click `+` in MCP Servers section:
+
+**Configuration:**
+- **Server Name**: `serpex`
+- **Command**: `npx`
+- **Arguments**: `-y serpex-mcp`
+- **Environment Variables**:
+  - Key: `SERPEX_API_KEY`, Value: `your-api-key`
+
+![Serper MCP configuration in Jan](../../_assets/serper_janparams.png)
+
+<Callout type="tip">
+Using `npx` means you don't need to install anything - it will automatically download and run the latest version of the Serpex MCP server from npm.
+</Callout>
+
+### Download Jan v1
+
+Jan v1 is optimized for tool calling and works excellently with Serpex:
+
+1. Go to the **Hub** tab
+2. Search for **Jan v1**
+3. Choose your preferred quantization
+4. Click **Download**
+
+![Download Jan v1 from Hub](../../_assets/download_janv1.png)
+
+### Enable Tool Calling
+
+1. Go to **Settings** > **Model Providers** > **Llama.cpp**
+2. Find Jan v1 in your models list
+3. Click the edit icon
+4. Toggle **Tools** ON
+
+![Enable tools for Jan v1](../../_assets/toggle_tools.png)
+
+## Usage
+
+### Start a New Chat
+
+With Jan v1 selected and Serpex configured, you'll see the Serpex search tool available.
+
+### Example Queries
+
+**Current Information:**
+```
+What are the latest developments in quantum computing this week?
+```
+
+**Multi-Engine Search:**
+```
+Search for "best AI models 2025" using different search engines and compare the results.
+```
+
+**Comparative Analysis:**
+```
+What are the main differences between TypeScript and JavaScript? Give me current best practices.
+```
+
+**Research Tasks:**
+```
+Find recent news about SpaceX Starship launches.
+```
+
+**Time-Filtered Search:**
+```
+What are the top tech news stories from the last 24 hours?
+```
+
+**Local Information:**
+```
+Find coffee shops in San Francisco that opened this year.
+```
+
+## How It Works
+
+1. **Query Processing**: Jan v1 analyzes your question and determines search parameters
+2. **Engine Selection**: Serpex automatically routes to the best available engine (or uses your specified engine)
+3. **Web Search**: Calls Serpex API which handles captchas, blocks, and retries automatically
+4. **Result Parsing**: Returns clean, structured JSON with titles, URLs, snippets, and metadata
+5. **Synthesis**: Jan v1 combines search results into a comprehensive, conversational answer
+
+## Tips for Best Results
+
+- **Be specific**: "Tesla Model 3 2024 price in California" works better than "Tesla price"
+- **Use auto engine**: Let Serpex choose the best engine automatically with `engine: 'auto'`
+- **Request recent info**: Use time_range parameter or add "latest", "recent" to queries
+- **Ask follow-ups**: Jan v1 maintains context for deeper research
+- **Combine with analysis**: Ask for comparisons, summaries, or insights from search results
+
+## Troubleshooting
+
+### Server Won't Start
+- Verify `SERPEX_API_KEY` is set correctly in environment variables
+- Check that Node.js is installed and accessible
+- Ensure all dependencies are installed: `npm install`
+
+### No Results Returned
+- Check your API key is valid at [serpex.dev](https://serpex.dev)
+- Verify you have available credits in your Serpex account
+- Try with `engine: 'auto'` to let Serpex choose the best engine
+
+### Tool Not Showing in Jan
+- Ensure experimental features are enabled
+- Verify MCP is enabled and permissions are granted
+- Restart Jan after adding the MCP server
+- Check that Jan v1 has tools enabled in model settings
+
+<Callout type="warning">
+Each search query consumes API credits. Monitor usage at serpex.dev dashboard.
+</Callout>
+
+## API Limits
+
+Serpex offers flexible pricing:
+
+- **Free Tier**: Generous limits for testing and personal use
+- **Rate Limit**: 300 requests/second
+- **Pay-as-you-go**: Only pay for what you use, no subscription
+
+Visit [serpex.dev/pricing](https://serpex.dev/pricing) for current pricing details.
+
+## Next Steps
+
+Serpex MCP enables Jan v1 to access current web information across multiple search engines, making it a powerful research assistant. Combine with other MCP tools for even more capabilities - use Serpex for search, then E2B for data analysis, or Jupyter for visualization.