# Brave Search MCP Server

An MCP Server implementation that integrates the [Brave Search API](https://brave.com/search/api/), providing, Web Search, Local Points of Interest Search, Video Search, Image Search, News Search and LLM Context Search capabilities

<a href="https://glama.ai/mcp/servers/@mikechao/brave-search-mcp">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@mikechao/brave-search-mcp/badge" alt="Brave Search MCP server" />
</a>

## Hosted deployment

A hosted deployment is available on [Fronteir AI](https://fronteir.ai/mcp/mikechao-brave-search-mcp).

## Features

- **Web Search**: Perform a regular search on the web
- **Image Search**: Search the web for images.
- **News Search**: Search the web for news
- **Video Search**: Search the web for videos
- **Local Points of Interest Search**: Search for local physical locations, businesses, restaurants, services, etc
- **LLM Context Search**: Fetch and extract full web page content optimized for reading and synthesizing sources

## Tools

- **brave_web_search**
  - Execute web searches using Brave's API
  - Inputs:
    - `query` (string): The term to search the internet for
    - `count` (number, optional): The number of results to return (max 20, default 10)
    - `offset` (number, optional, default 0): The offset for pagination
    - `freshness` (enum, optional): Filters search results by when they were discovered
      - The following values are supported
        - pd: Discovered within the last 24 hours.
        - pw: Discovered within the last 7 Days.
        - pm: Discovered within the last 31 Days.
        - py: Discovered within the last 365 Days
        - YYYY-MM-DDtoYYYY-MM-DD: Custom date range (e.g., 2022-04-01to2022-07-30)

- **brave_image_search**
  - Get images from the web relevant to the query
  - Inputs:
    - `query` (string): The term to search the internet for images of
    - `count` (number, optional): The number of images to return (max 50, default 10)

- **brave_news_search**
  - Searches the web for news
  - Inputs:
    - `query` (string): The term to search the internet for news articles, trending topics, or recent events
    - `count` (number, optional): The number of results to return (max 20, default 10)
    - `offset` (number, optional, default 0): The zero-based offset for pagination (max 9)
    - `freshness` (enum, optional): Filters search results by when they were discovered
      - The following values are supported
        - pd: Discovered within the last 24 hours.
        - pw: Discovered within the last 7 Days.
        - pm: Discovered within the last 31 Days.
        - py: Discovered within the last 365 Days
        - YYYY-MM-DDtoYYYY-MM-DD: Custom date range (e.g., 2022-04-01to2022-07-30)

- **brave_local_search**
  - Search for local businesses, services and points of interest
  - Falls back to brave_web_search on the initial page if no location results are found
  - Inputs:
    - `query` (string): Local search term
    - `count` (number, optional): The number of results to return (max 20, default 5)
    - `offset` (number, optional, default 0): The zero-based offset for pagination (max 9)

- **brave_video_search**
  - Search the web for videos
  - Inputs:
    - `query`: (string): The term to search for videos
    - `count`: (number, optional): The number of videos to return (max 20, default 10)
    - `offset` (number, optional, default 0): The zero-based offset for pagination (max 9)
    - `freshness` (enum, optional): Filters search results by when they were discovered
      - The following values are supported
        - pd: Discovered within the last 24 hours.
        - pw: Discovered within the last 7 Days.
        - pm: Discovered within the last 31 Days.
        - py: Discovered within the last 365 Days
        - YYYY-MM-DDtoYYYY-MM-DD: Custom date range (e.g., 2022-04-01to2022-07-30)

- **brave_llm_context_search**
  - Pre-extracted web content optimized for AI agents, LLM grounding, and RAG pipelines.
  - Uses Brave's `balanced` context threshold mode in `compact` mode and disables Brave relevance filtering in `full` mode.
  - Inputs:
    - `query` (string): The search query. Maximum 400 characters and 50 words.
    - `url` (string, optional): Optional URL to target. When provided, query and URL are combined for retrieval and only snippets from this exact URL are returned.
    - `count` (number, optional, default 8): The maximum number of search results considered. Minimum 1, maximum 50.
    - `maximumNumberOfUrls` (number, optional, default 8): The maximum number of URLs to include in the response. Minimum 1, maximum 50.
    - `maximumNumberOfTokens` (number, optional, default 2048): The approximate maximum number of tokens in the returned context. Minimum 1024, maximum 32768.
    - `maximumNumberOfSnippets` (number, optional, default 16): The maximum number of snippets across all URLs. Minimum 1, maximum 100.
    - `maximumNumberOfTokensPerUrl` (number, optional, default 512): The maximum number of tokens per URL. Minimum 512, maximum 8192.
    - `maximumNumberOfSnippetsPerUrl` (number, optional, default 2): The maximum number of snippets per URL. Minimum 1, maximum 100.
    - `responseMode` (enum, optional, default `compact`): `compact` applies Brave's `balanced` relevance filtering plus local snippet filtering/truncation. `full` disables Brave's relevance filtering and returns raw snippets without local filtering or truncation.
    - `maxSnippetChars` (number, optional, default 400): Maximum characters per snippet in compact mode. Minimum 80, maximum 4000.
    - `maxOutputChars` (number, optional, default 8000): Approximate maximum serialized response size in compact mode. Minimum 1000, maximum 100000.

## OpenAI Apps & MCP Apps Support

<p align="center">
  <a href="https://www.youtube.com/watch?v=Z5KiC00gBVE">
    <img src="https://img.youtube.com/vi/Z5KiC00gBVE/maxresdefault.jpg" alt="Watch the demo" width="80%">
  </a>
  <br>
  <a href="https://www.youtube.com/watch?v=Z5KiC00gBVE"><em>▶️ Click to watch the demo video</em></a>
</p>

There is now support for [OpenAI Apps](https://developers.openai.com/apps-sdk/) and [MCP Apps](https://modelcontextprotocol.io/docs/extensions/apps) in this MCP Server. When UI mode is enabled for each tool there is a corresponding UI widget that let's you control what gets added to the model's context. See the directions in [usage with ChatGPT section](#usage-with-chatgpt).

## Configuration

### Getting an API Key

1. Sign up for a [Brave Search API account](https://brave.com/search/api/)
2. Choose a plan
3. Generate your API key [from the developer dashboard](https://api.search.brave.com/app/keys)

### Streamable HTTP mode

By default the MCP server runs in stdio mode.

```bash
BRAVE_API_KEY="your_key_here" npx -y brave-search-mcp
```

To enable Streamable HTTP mode:

```bash
BRAVE_API_KEY="your_key_here" npx -y brave-search-mcp --http
```

By default the server listens on port 3001.
The URL is:

```
http://0.0.0.0:3001/mcp
```

### Environment variables

When running in HTTP mode, the following environment variables are supported:

- `BRAVE_API_KEY` (required): Brave Search API key.
- `PORT` (optional): HTTP port (default: `3001`).
- `HOST` (optional): Interface to bind to (default: `0.0.0.0`).
- `ALLOWED_HOSTS` (optional): Comma-separated list of allowed hostnames for Host header validation.
  - Example: `ALLOWED_HOSTS=localhost,127.0.0.1,my-app.ngrok-free.app`
  - Use hostnames only (no scheme/path), e.g. `my-app.ngrok-free.app` not `https://my-app.ngrok-free.app/mcp`

Examples:

```bash
# Local only
HOST=127.0.0.1 ALLOWED_HOSTS=localhost,127.0.0.1 BRAVE_API_KEY="your_key_here" npx -y brave-search-mcp --http
```

```bash
# Local with ngrok tunnel
HOST=127.0.0.1 ALLOWED_HOSTS=localhost,127.0.0.1,my-app.ngrok-free.app BRAVE_API_KEY="your_key_here" npx -y brave-search-mcp --http --ui
```

### Usage with ChatGPT

The Brave Search MCP Server can be used with the web UI of ChatGPT. It takes a few steps.

#### 1. Enable Developer Mode in ChatGPT

Settings → Apps → Advanced settings → Developer mode

Additional instructions [here](https://platform.openai.com/docs/guides/developer-mode)

#### 2. Run the Brave Search MCP in HTTP mode and UI mode

```bash
BRAVE_API_KEY="your_key_here" npx -y brave-search-mcp --http --ui
```

#### 3. Create a local tunnel to expose the MCP Server to ChatGPT

Sign up and configure [ngrok](https://ngrok.com/), the free plan works.

```bash
ngrok http 3001
```

Take note of the forwarding URL.

```bash
...
Forwarding                    https://john-joe-asdf.ngrok-free.dev -> http://localhost:3001
...
```

#### 4. Add Brave Search MCP as a Connector to ChatGPT

Open [ChatGPT Apps settings](https://chatgpt.com/#settings/Connectors)

Click Apps

Click Create Apps

Fill out the form using the URL from step 3 as the MCP Server URL, but add `/mcp`.

```
https://john-joe-asdf.ngrok-free.dev/mcp
```

For Authentication, select 'No Auth'

Tick the checkbox for 'I understand and want to continue'

Then click Create.

#### 5. Using the Brave Search MCP Server

In the ChatGPT UI, click the '+' button, scroll to '...more', select the newly created Brave Search app, and enter your query.

### Usage with Claude Code

For [Claude Code](https://claude.ai/code) users, run this command:

**Windows:**

```bash
claude mcp add-json brave-search '{"command":"cmd","args":["/c","npx","-y","brave-search-mcp"],"env":{"BRAVE_API_KEY":"YOUR_API_KEY_HERE"}}'
```

**Linux/macOS:**

```bash
claude mcp add-json brave-search '{"command":"npx","args":["-y","brave-search-mcp"],"env":{"BRAVE_API_KEY":"YOUR_API_KEY_HERE"}}'
```

Replace `YOUR_API_KEY_HERE` with your actual Brave Search API key.

### Usage with Claude Desktop

#### MCP Bundle (MCPB)

1. Download the `mcpb` file from the [Releases](https://github.com/mikechao/brave-search-mcp/releases)
2. Open it with Claude Desktop
   or
   Go to File -> Settings -> Extensions and drag the .mcpb file to the window to install it

#### Docker

1. Clone the repo
2. Build the image from the repo root

```bash
docker build -t brave-search-mcp:latest -f apps/brave-search-mcp/Dockerfile .
```

3. Run it directly if you want HTTP mode:

```bash
docker run --rm -p 3001:3001 -e BRAVE_API_KEY="YOUR_API_KEY_HERE" brave-search-mcp:latest --http
```

4. Add this to your `claude_desktop_config.json` for stdio mode:

```json
{
  "mcp-servers": {
    "brave-search": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "BRAVE_API_KEY",
        "brave-search-mcp"
      ],
      "env": {
        "BRAVE_API_KEY": "YOUR API KEY HERE"
      }
    }
  }
}
```

#### NPX

Add this to your `claude_desktop_config.json`:

```json
{
  "mcp-servers": {
    "brave-search": {
      "command": "npx",
      "args": [
        "-y",
        "brave-search-mcp"
      ],
      "env": {
        "BRAVE_API_KEY": "YOUR API KEY HERE"
      }
    }
  }
}
```

### Usage with LibreChat

Add this to librechat.yaml

```yaml
brave-search:
  command: sh
  args:
    - -c
    - BRAVE_API_KEY=API KEY npx -y brave-search-mcp
```

## Contributing

Contributions are welcome! See [CONTRIBUTING.md](CONTRIBUTING.md) for development setup, monorepo structure, and release instructions.
For UI build workflow details, including the entrypoint orchestrator, see [UI Build Orchestrator](CONTRIBUTING.md#ui-build-orchestrator).

## Disclaimer

This library is not officially associated with Brave Software. It is a third-party implementation of the Brave Search API with a MCP Server.

## License

This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.