# Serper MCP Server
[](https://smithery.ai/server/@garylab/serper-mcp-server)
A Model Context Protocol server that provides **Google Search via Serper**. This server enables LLMs to get search result information from Google.
## Available Tools
- `google_search` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)
- `google_search_images` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)
- `google_search_videos` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)
- `google_search_places` - Set [all the parameters](src/serper_mcp_server/schemas.py#L20)
- `google_search_maps` - Set [all the parameters](src/serper_mcp_server/schemas.py#L24)
- `google_search_reviews` - Set [all the parameters](src/serper_mcp_server/schemas.py#L34)
- `google_search_news` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)
- `google_search_shopping` - Set [all the parameters](src/serper_mcp_server/schemas.py#L45)
- `google_search_lens` - Set [all the parameters](src/serper_mcp_server/schemas.py#L50)
- `google_search_scholar` - Set [all the parameters](src/serper_mcp_server/schemas.py#L20)
- `google_search_parents` - Set [all the parameters](src/serper_mcp_server/schemas.py#L56)
- `google_search_autocomplete` - Set [all the parameters](src/serper_mcp_server/schemas.py#L20)
- `webpage_scrape` - Set [all the parameters](src/serper_mcp_server/schemas.py#L62)
## Usage
### Installing via Smithery
To install Serper MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@garylab/serper-mcp-server):
```bash
npx -y @smithery/cli install @garylab/serper-mcp-server --client claude
```
### Using `uv` (recommended)
1. Make sure you had installed [`uv`](https://docs.astral.sh/uv/) on your os system.
2. In your MCP client code configuration or **Claude** settings (file `claude_desktop_config.json`) add `serper` mcp server:
```json
{
"mcpServers": {
"serper": {
"command": "uvx",
"args": ["serper-mcp-server"],
"env": {
"SERPER_API_KEY": "<Your Serper API key>"
}
}
}
}
```
`uv` will download mcp server automatically using `uvx` from [pypi.org](https://pypi.org/project/serper-mcp-server/) and apply to your MCP client.
### Using `pip` for project
1. Add `serper-mcp-server` to your MCP client code `requirements.txt` file.
```txt
serper-mcp-server
```
2. Install the dependencies.
```shell
pip install -r requirements.txt
```
3. Add the configuration for you client:
```json
{
"mcpServers": {
"serper": {
"command": "python3",
"args": ["-m", "serper_mcp_server"],
"env": {
"SERPER_API_KEY": "<Your Serper API key>"
}
}
}
}
```
### Using `pip` for globally usage
1. Make sure the `pip` or `pip3` is in your os system.
```bash
pip install serper-mcp-server
# or
pip3 install serper-mcp-server
```
2. MCP client code configuration or **Claude** settings, add `serper` mcp server:
```json
{
"mcpServers": {
"serper": {
"command": "python3",
"args": ["serper-mcp-server"],
"env": {
"SERPER_API_KEY": "<Your Serper API key>"
}
}
}
}
```
## Debugging
You can use the MCP inspector to debug the server. For `uvx` installations:
```bash
npx @modelcontextprotocol/inspector uvx serper-mcp-server
```
Or if you've installed the package in a specific directory or are developing on it:
```bash
cd path/to/servers/src/serper
npx @modelcontextprotocol/inspector uv run serper-mcp-server -e SERPER_API_KEY=<the key>
```
## License
serper-mcp-server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
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"description": "# Serper MCP Server\n[](https://smithery.ai/server/@garylab/serper-mcp-server)\n\nA Model Context Protocol server that provides **Google Search via Serper**. This server enables LLMs to get search result information from Google.\n\n## Available Tools\n\n- `google_search` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)\n- `google_search_images` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)\n- `google_search_videos` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)\n- `google_search_places` - Set [all the parameters](src/serper_mcp_server/schemas.py#L20)\n- `google_search_maps` - Set [all the parameters](src/serper_mcp_server/schemas.py#L24)\n- `google_search_reviews` - Set [all the parameters](src/serper_mcp_server/schemas.py#L34)\n- `google_search_news` - Set [all the parameters](src/serper_mcp_server/schemas.py#L15)\n- `google_search_shopping` - Set [all the parameters](src/serper_mcp_server/schemas.py#L45)\n- `google_search_lens` - Set [all the parameters](src/serper_mcp_server/schemas.py#L50)\n- `google_search_scholar` - Set [all the parameters](src/serper_mcp_server/schemas.py#L20)\n- `google_search_parents` - Set [all the parameters](src/serper_mcp_server/schemas.py#L56)\n- `google_search_autocomplete` - Set [all the parameters](src/serper_mcp_server/schemas.py#L20)\n- `webpage_scrape` - Set [all the parameters](src/serper_mcp_server/schemas.py#L62)\n\n\n## Usage\n\n### Installing via Smithery\n\nTo install Serper MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@garylab/serper-mcp-server):\n\n```bash\nnpx -y @smithery/cli install @garylab/serper-mcp-server --client claude\n```\n\n### Using `uv` (recommended)\n\n1. Make sure you had installed [`uv`](https://docs.astral.sh/uv/) on your os system.\n\n2. In your MCP client code configuration or **Claude** settings (file `claude_desktop_config.json`) add `serper` mcp server:\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"uvx\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"<Your Serper API key>\"\n }\n }\n }\n }\n ```\n `uv` will download mcp server automatically using `uvx` from [pypi.org](https://pypi.org/project/serper-mcp-server/) and apply to your MCP client.\n\n### Using `pip` for project\n1. Add `serper-mcp-server` to your MCP client code `requirements.txt` file.\n ```txt\n serper-mcp-server\n ```\n\n2. Install the dependencies.\n ```shell\n pip install -r requirements.txt\n ```\n\n3. Add the configuration for you client:\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"-m\", \"serper_mcp_server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"<Your Serper API key>\"\n }\n }\n }\n }\n ```\n\n\n### Using `pip` for globally usage\n\n1. Make sure the `pip` or `pip3` is in your os system.\n ```bash\n pip install serper-mcp-server\n # or\n pip3 install serper-mcp-server\n ```\n\n2. MCP client code configuration or **Claude** settings, add `serper` mcp server:\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"<Your Serper API key>\"\n }\n }\n }\n }\n ```\n\n\n## Debugging\n\nYou can use the MCP inspector to debug the server. For `uvx` installations:\n\n```bash\nnpx @modelcontextprotocol/inspector uvx serper-mcp-server\n```\n\nOr if you've installed the package in a specific directory or are developing on it:\n\n```bash\ncd path/to/servers/src/serper\nnpx @modelcontextprotocol/inspector uv run serper-mcp-server -e SERPER_API_KEY=<the key>\n```\n\n\n## License\n\nserper-mcp-server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.\n",
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