An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
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.
Depending on your chosen deployment method, you will need some of the following: * Brave Search API Key: Required for all deployment methods. See "Getting Started" below. * Docker: Required if deploying using Docker. * kubectl & Helm: Required if deploying to Kubernetes using Helm. * Node.js & npm: Required only for local development (Node.js v22.x or later recommended). *
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Depending on your chosen deployment method, you will need some of the following: * Brave Search API Key: Required for all deployment methods. See "Getting Started" below. * Docker: Required if deploying using Docker. * kubectl & Helm: Required if deploying to Kubernetes using Helm. * Node.js & npm: Required only for local development (Node.js v22.x or later recommended). *
| Variable | Description | Required |
|---|---|---|
| BRAVE_API_KEY | Credential the server authenticates with. | Yes |
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