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.
Verwandte Server
Wizzy TMDB
A wrapper for TMDB
bbox-mcp-server
Bounding box coordinate conversion, EPSG projections, H3 indexing, Overpass OSM queries, and shareable map links
Search MCP Server
A versatile search server supporting multiple search engines, including Brave, Metaso, and Bocha.
Sycek OSINT
The Sycek MCP Client is a Model Context Protocol server that gives AI assistants direct access to the Sycek OSINT platform's 20 intelligence tools. Instead of switching between dashboards, you describe what you need and your AI handles the investigation.
Agently MCP
Discover public A2A agents on the Agently platform using its public API.
VelociRAG
Lightning-fast RAG for AI agents. 4-layer fusion (vector, BM25, graph, metadata), ONNX Runtime, sub-200ms search, no PyTorch.
Splunk
An MCP server for Splunk to search, analyze, and visualize machine-generated data from your Splunk instance.
Local Research MCP Server
A private, local research assistant that searches the web and scrapes content using DuckDuckGo.
MCP Agent
A lightweight, local MCP server in Python that enables RAG search through AWS Lambda.
Rolli MCP
Social media search and analytics across X, Reddit, Bluesky, YouTube, LinkedIn, Facebook, Instagram, and Weibo via the Rolli IQ API