About Brave Search MCP Server
Brave Search MCP Server connects the Brave Search API to MCP for web and local search. It supports pagination and filtering, and falls back to web search when local search returns no results.
Key features
- 01Web search with pagination
- 02Search local businesses and services
- 03Control result types and safety levels
- 04Filter by content freshness
- 05Fall back to web search when local results are absent
Use cases
- 01Search for web pages, news, and articles
- 02Find local businesses, restaurants, and services
MCP support
The MCP server exposes web and local search tools backed by the Brave Search API. Local search falls back to web search when no results are found.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEBrave Search MCP Server
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
Features
- Web Search: General queries, news, articles, with pagination and freshness controls
- Local Search: Find businesses, restaurants, and services with detailed information
- Flexible Filtering: Control result types, safety levels, and content freshness
- Smart Fallbacks: Local search automatically falls back to web when no results are found
Tools
-
brave_web_search
- Execute web searches with pagination and filtering
- Inputs:
query(string): Search termscount(number, optional): Results per page (max 20)offset(number, optional): Pagination offset (max 9)
-
brave_local_search
- Search for local businesses and services
- Inputs:
query(string): Local search termscount(number, optional): Number of results (max 20)
- Automatically falls back to web search if no local results found
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
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
Docker
{
"mcpServers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
NPX
{
"mcpServers": {
"brave-search": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Usage with VS Code
For quick installation, use the one-click installation buttons below...
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).
Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.
Note that the
mcpkey is not needed in the.vscode/mcp.jsonfile.
Docker
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "brave_api_key",
"description": "Brave Search API Key",
"password": true
}
],
"servers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "${input:brave_api_key}"
}
}
}
}
}
NPX
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "brave_api_key",
"description": "Brave Search API Key",
"password": true
}
],
"servers": {
"brave-search": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-brave-search"],
"env": {
"BRAVE_API_KEY": "${input:brave_api_key}"
}
}
}
}
}
Build
Docker build:
docker build -t mcp/brave-search:latest -f src/brave-search/Dockerfile .
License
This 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.