Web and local search using Brave Search API
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"brave-search": {
"env": {
"BRAVE_API_KEY": "your-api-key"
},
"args": [
"-y",
"@modelcontextprotocol/server-brave-search"
],
"command": "npx"
}
}
}<your-api-key> with your actual key. How to get one →Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
BRAVE_API_KEYBrave Search API Key1. Go to brave.com/search/api 2. Click "Get Started" 3. Create an account or sign in 4. Choose the Free plan (2,000 queries/month) 5. Copy your API key from the dashboardOpen Brave Search API Key page
The Brave Search MCP Server gives your AI assistant the ability to search the web using the Brave Search API. It supports both web search and local search (finding nearby businesses and places). Privacy-respecting alternative to Google search.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@modelcontextprotocol/server-brave-search' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @modelcontextprotocol/server-brave-search against OSV.dev.
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This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources.
[!IMPORTANT] If you are looking for a list of MCP servers, you can browse published servers on the MCP Registry. The repository served by this README is dedicated to housing just the small number of reference servers maintained by the MCP steering group.
[!WARNING] The servers in this repository are intended as reference implementations to demonstrate MCP features and SDK usage. They are meant to serve as educational examples for developers building their own MCP servers, not as production-ready solutions. Developers should evaluate their own security requirements and implement appropriate safeguards based on their specific threat model and use case.
The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources. Typically, each MCP server is implemented with an MCP SDK:
These servers aim to demonstrate MCP features and the official SDKs.
The following reference servers are now archived and can be found at servers-archived.