Frequently Asked Questions about Brave Search MCP Server

Q: What is an MCP Server? A: MCP (Model Context Protocol) Server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Q: What is the Brave Search MCP Server? A: The Brave Search MCP Server is an implementation that integrates the Brave Search API with an MCP server, providing both web and local search capabilities to AI Agents.

Q: What are the key features of the Brave Search MCP Server? A: Key features include web search, local search, flexible filtering options (result types, safety levels, content freshness), and smart fallbacks (local search automatically falls back to web search).

Q: How do I get an API key for Brave Search? A: 1. Sign up for a Brave Search API account at brave.com/search/api/. 2. Choose a plan. 3. Generate your API key from the developer dashboard.

Q: How do I configure the Brave Search MCP Server? A: You can configure it using Docker or NPX. Configuration details, including JSON examples, are provided in the documentation.

Q: What is UBOS? A: UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with enterprise data, build custom AI Agents, and create Multi-Agent Systems.

Q: What is brave_web_search tool? A: brave_web_search executes web searches with pagination and filtering. You need to input query (string): Search terms, count (number, optional): Results per page (max 20), offset (number, optional): Pagination offset (max 9)

Q: What is brave_local_search tool? A: brave_local_search Search for local businesses and services. You need to input query (string): Local search terms, count (number, optional): Number of results (max 20). Automatically falls back to web search if no local results found

Q: How the local search works with MCP Server? A: The brave_local_search tool searches for local businesses and services and Automatically falls back to web search if no local results found