Question 1

What is an MCP Server?

Accepted Answer

MCP stands for Model Context Protocol. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools, providing them with necessary context.

Question 2

What is SearXNG and how is it used in this MCP server?

Accepted Answer

SearXNG is a privacy-respecting metasearch engine. This MCP server uses SearXNG's API to provide web search capabilities with category support.

Question 3

What are the key features of this enhanced MCP server?

Accepted Answer

The key features include category-aware web search, website content scraping with citation metadata, in-memory caching, domain-based rate limiting, and a timezone-aware date/time tool.

Question 4

How do I install and run this MCP server?

Accepted Answer

The server can be installed and run using Docker or natively with Python. Detailed instructions are provided in the documentation, including how to configure it with an MCP client.

Question 5

What environment variables are required to configure the server?

Accepted Answer

At a minimum, `SEARXNG_ENGINE_API_BASE_URL` is required to point to your SearXNG instance. Other environment variables control caching, rate limiting, timeouts, and more.

Question 6

How does the server handle rate limiting?

Accepted Answer

The server uses domain-based rate limiting to prevent excessive requests to the same domain within a time window, avoiding potential IP blocking.

Question 7

How does caching work in this server?

Accepted Answer

The server utilizes in-memory caching with automatic freshness validation. This stores frequently accessed content in memory for faster retrieval, and stale content is refreshed automatically.

Question 8

What error handling mechanisms are in place?

Accepted Answer

The server implements robust error handling with custom exception types, providing informative messages for configuration errors, connection failures, web scraping issues, and rate limit exceedances.

Question 9

Can I use this MCP server with the UBOS platform?

Accepted Answer

Yes, this MCP server is designed to seamlessly integrate with the UBOS platform, enhancing the capabilities of AI Agents within the UBOS ecosystem.

Question 10

What categories are available for web search?

Accepted Answer

Available categories include general web pages, images, videos, files, maps, and social media posts.

Question 11

How do I configure the server using an `ods_config.json` file?

Accepted Answer

Create an `ods_config.json` file in the project's root directory (or the path specified by the `ODS_CONFIG_PATH` environment variable). Environment variables take precedence over values in this file.

Question 12

What should I do if I cannot connect to SearXNG?

Accepted Answer

Ensure your SearXNG instance is running and that the `SEARXNG_ENGINE_API_BASE_URL` environment variable points to the correct endpoint.

Question 13

How can I contribute to the project?

Accepted Answer

You can contribute by submitting pull requests, reporting issues, and providing feedback on the project's GitHub repository.

SearXNG Enhanced Web Search Server

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