Frequently Asked Questions about Multi-Search MCP Server

Q: What is the Multi-Search MCP Server? A: It’s a lightweight MCP server that unifies multiple search engines (Google, Brave News, and DuckDuckGo) under one simple API, simplifying access for AI agents.

Q: What is MCP? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs).

Q: What search engines are supported? A: Currently, it supports Google Search (via SerpApi), Brave News (through Brave’s News API), and DuckDuckGo Instant Answers (via public API).

Q: Do I need API keys for all search engines? A: No, only Brave News requires a key. DuckDuckGo works out-of-the-box, and Google Search key is optional.

Q: How do I deploy the Multi-Search MCP Server? A: You can deploy it via Docker or Smithery.ai with a single click.

Q: What are the benefits of using this server? A: It provides a unified API, simplifies tool development, minimizes key management, and enables easy deployment.

Q: How does it integrate with UBOS? A: It integrates seamlessly with UBOS, allowing you to orchestrate search-powered agents, connect to enterprise data, and build custom AI agents within the UBOS platform.

Q: Can I use it for chatbots? A: Yes, it’s ideal for enhancing chatbots with access to real-time information from multiple search engines.

Q: Is the output format consistent across all search engines? A: Yes, it returns data in a consistent JSON format, making it easy to consume and process.

Q: Where can I get support or provide feedback? A: You can join the Smithery Discord or open an issue in the GitHub repository.