Frequently Asked Questions about SearXNG MCP Bridge

Q: What is the SearXNG MCP Bridge? A: The SearXNG MCP Bridge is a Model Context Protocol (MCP) server that acts as a bridge between AI models and a SearXNG instance. It allows AI clients to perform searches using SearXNG via the MCP protocol.

Q: What is SearXNG? A: SearXNG is a free and open-source metasearch engine that aggregates results from various search engines while respecting user privacy.

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

Q: Why should I use the SearXNG MCP Bridge? A: The SearXNG MCP Bridge provides a privacy-respecting and decentralized way to integrate web search into your AI workflows. It helps avoid filter bubbles and promotes access to a wider range of information.

Q: What are the prerequisites for using the SearXNG MCP Bridge? A: You need Node.js, npm, and a running SearXNG instance.

Q: How do I install the SearXNG MCP Bridge? A: You can install it globally using npm: npm install -g @nitish-raj/searxng-mcp-bridge.

Q: How do I configure the SearXNG MCP Bridge? A: Add the configuration to your MCP settings file and specify the URL of your SearXNG instance using the SEARXNG_INSTANCE_URL environment variable.

Q: How do I set up a SearXNG instance? A: You can use Docker (recommended) or Docker Compose, or you can install SearXNG manually.

Q: Can I use a public SearXNG instance? A: Yes, you can use a public SearXNG instance, but consider the reliability and potential rate limits of public instances.

Q: Is the SearXNG MCP Bridge open source? A: Yes, it is an open-source project.

Q: How do I contribute to the SearXNG MCP Bridge? A: Please see the GitHub repository for contribution guidelines.

Q: How does this relate to UBOS? A: UBOS is a full-stack AI Agent Development Platform that allows you to build custom AI agents, connect them to data, and orchestrate multi-agent systems. The SearXNG MCP Bridge enhances UBOS by providing a privacy-respecting search capability for AI agents.

Q: What if I encounter issues during installation? A: Double-check your configuration settings, especially the SEARXNG_INSTANCE_URL. Refer to the project’s GitHub repository for troubleshooting tips and to report issues.