Brave Search MCP Server
An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Video Search, Image Search and News Search capabilities
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
Tools
-
brave_web_search
- Execute web searches using Brave's API
- Inputs:
query(string): The term to search the internet forcount(number, optional): The number of results to return (max 20, default 10)offset(number, optional, default 0): The offset for paginationfreshness(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)
- The following values are supported
-
brave_image_search
- Get images from the web relevant to the query
- Inputs:
query(string): The term to search the internet for images ofcount(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 eventscount(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)
- The following values are supported
-
brave_local_search
- Search for local businesses, services and points of interest
- REQUIRES subscription to the Pro api plan for location results
- Falls back to brave_web_search if no location results are found
- Inputs:
query(string): Local search termcount(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 videoscount: (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)
- The following values are supported
OpenAI Apps & MCP Apps Support
▶️ Click to watch the demo video
There is now support for OpenAI Apps and MCP 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.
Configuration
Getting an API Key
- Sign up for a Brave Search API account
- Choose a plan (Free tier available with 2,000 queries/month)
- Generate your API key from the developer dashboard
Streamable HTTP mode
By default the MCP server runs in stdio mode.
BRAVE_API_KEY="your_key_here" npx -y brave-search-mcp
To enable Streamable HTTP mode:
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.appnothttps://my-app.ngrok-free.app/mcp
- Example:
Examples:
# 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
# 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
2. Run the Brave Search MCP in HTTP mode and UI mode
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, the free plan works.
ngrok http 3001
Take note of the forwarding URL.
...
Forwarding https://john-joe-asdf.ngrok-free.dev -> http://localhost:3001
...
4. Add Brave Search MCP as a Connector to ChatGPT
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 users, run this command:
Windows:
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:
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)
- Download the
mcpbfile from the Releases - Open it with Claude Desktop or Go to File -> Settings -> Extensions and drag the .mcpb file to the window to install it
Docker
- Clone the repo
- Docker build
docker build -t brave-search-mcp:latest -f ./Dockerfile .
- Add this to your
claude_desktop_config.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:
{
"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
brave-search:
command: sh
args:
- -c
- BRAVE_API_KEY=API KEY npx -y brave-search-mcp
Contributing
Contributions are welcome! See CONTRIBUTING.md for development setup, monorepo structure, and release instructions.
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 file for details.
Recommend MCP Servers 💡
jlowin/fastmcp
🚀 The fast, Pythonic way to build MCP servers and clients
fuel-mcp-server
MCP server for Fuel Network and Sway Language ecosystem enabling IDE integration with Fuel documentation
alexissinglaire/filesystemcustom-test
Filesystem operations MCP server with read/write capabilities and directory management
@GongRzhe/Office-Word-MCP-Server
A Model Context Protocol (MCP) server that enables AI assistants to create, read, and manipulate Microsoft Word documents through a standardized interface.
@brightdata/mcp
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
fetchserp
A Model Context Protocol (MCP) server that exposes the FetchSERP API for SEO, SERP analysis, web scraping, and keyword research, providing an All-in-One SEO & Web Intelligence Toolkit.