Brave Search
A server for Brave Search, enabling integration with AI assistants like Claude.
Brave Search MCP Server
This project implements a Model Context Protocol (MCP) server for Brave Search, allowing integration with AI assistants like Claude.
Prerequisites
- Python 3.11+
- uv - A fast Python package installer and resolver
Installation
Installing via Smithery
To install Brave Search MCP server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @arben-adm/brave-mcp-search --client claude
Manual Installation
-
Clone the repository:
git clone https://github.com/your-username/brave-search-mcp.git cd brave-search-mcp -
Create a virtual environment and install dependencies using uv:
uv venv source .venv/bin/activate # On Windows, use: .venv\Scripts\activate uv pip install -r requirements.txt -
Set up your Brave Search API key:
export BRAVE_API_KEY=your_api_key_hereOn Windows, use:
set BRAVE_API_KEY=your_api_key_here
Usage
-
Configure your MCP settings file (e.g.,
claude_desktop_config.json) to include the Brave Search MCP server:{ "mcpServers": { "brave-search": { "command": "uv", "args": [ "--directory", "path-to\\mcp-python\\brave-mcp-search\\src", "run", "server.py" ], "env": { "BRAVE_API_KEY": "YOUR_BRAVE_API_KEY_HERE" } } } }Replace
YOUR_BRAVE_API_KEY_HEREwith your actual Brave API key. -
Start the Brave Search MCP server by running your MCP-compatible AI assistant with the updated configuration.
-
The server will now be running and ready to accept requests from MCP clients.
-
You can now use the Brave Search functionality in your MCP-compatible AI assistant (like Claude) by invoking the available tools.
Available Tools
The server provides two main tools:
brave_web_search: Performs a web search using the Brave Search API.brave_local_search: Searches for local businesses and places.
Refer to the tool docstrings in src/server.py for detailed usage information.
Development
To make changes to the project:
- Modify the code in the
srcdirectory as needed. - Update the
requirements.txtfile if you add or remove dependencies:uv pip freeze > requirements.txt - Restart the server to apply changes.
Troubleshooting
If you encounter any issues:
- Ensure your Brave API key is correctly set.
- Check that all dependencies are installed.
- Verify that you're using a compatible Python version.
- If you make changes to the code, make sure to restart the server.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Serveurs connexes
Google Search
Web search and webpage content extraction using the Google Custom Search API.
Naver Search
Search across various Naver services and analyze data trends using the Naver Search and DataLab APIs.
Haloscan
Interact with the Haloscan SEO API for search engine optimization tasks.
BigGo MCP Server
A server for product search, price history tracking, and specification search using the BigGo API.
Qdrant MCP Server
Semantic code search using the Qdrant vector database and OpenAI embeddings.
YouTube Data MCP
High-efficiency YouTube MCP server providing token-optimized, structured data for LLMs.
Releasebot
Releasebot finds and watches release note sources from hundreds of products and companies.
Handaas Enterprise Big Data Service
Provides comprehensive enterprise information query and analysis, including business info, risk analysis, intellectual property, and operational insights.
Data Gouv MCP Server
Interact with the French government's open data platform (data.gouv.fr) to search for company information.
Google Search by CData
An MCP server for Google Search provided by CData, which requires an external CData JDBC Driver.