Stream Brave Search (web & local) results via a Model Context Protocol (MCP) / Server-Sent Events (SSE) interface. Acts as a centralized, observable tool provider for AI models, deployable via Docker or Helm.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"brave-search": {
"url": "http://localhost:8080/sse",
"transport": "sse"
}
}
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An implementation of the Model Context Protocol (MCP) using Server-Sent Events (SSE) that integrates the Brave Search API, providing AI models and other clients with web and local search capabilities through a streaming interface.
No automated test available for this server. Check the GitHub README for setup instructions.
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An implementation of the Model Context Protocol (MCP) using Server-Sent Events (SSE) that integrates the Brave Search API, providing AI models and other clients with web and local search capabilities through a streaming interface.
This server acts as a tool provider for Large Language Models that understand the Model Context Protocol. It exposes Brave's powerful web and local search functionalities via an SSE connection, allowing for real-time streaming of search results and status updates.
Key Design Goals:
Dockerfile for easy containerization and deployment.Depending on your chosen deployment method, you will need some of the following:
The server requires the Brave Search API key to be set via the BRAVE_API_KEY environment variable.
Other potential environment variables (check src/config/config.ts for details):
PORT: The port the server listens on (defaults to 8080).LOG_LEVEL: Logging verbosity (e.g., info, debug).Set these variables in your environment or using a .env file in the project root for local development.
Choose the deployment method that best suits your needs:
Prerequisites: Docker installed.