How to Make Your Local AI in LM Studio SEARCH The Web

Описание: 👉 In this video, I will show you how to connect your local AI in LM Studio to real-time web data using SearXNG and Docker via MCP, so it can actually pull fresh info instead of being stuck on outdated training data. Most DuckDuckGo MCP plugins keep getting blocked by websites that detect AI bots, so I found a more consistent and well-maintained method that routes through multiple search engines at once. This setup is a solid fix if you want your offline local model to fetch live answers like stock prices or the latest AI news without paying for any cloud API.

MCP.JSON:

{
"mcpServers": {
"websearch-searxng": {
"command": "npx",
"args": ["-y", "@jharding_npm/mcp-server-searxng"],
"env": {
"SEARXNG_URL": "http://localhost:8080"
}
}
}
}


OR


{
"mcpServers": {
"websearch-searxng": {
"command": "npx",
"args": ["-y", "@iflow-mcp/searxng-mcp"],
"env": {
"SEARXNG_URL": "http://localhost:8080"
}
}
}
}


OR


{
"mcpServers": {
"websearch-searxng": {
"command": "npx",
"args": ["-y", "@atomlong/mcp-searxng"],
"env": {
"SEARXNG_URL": "http://localhost:8080"
}
}
}
}

❤️ Subscribe:    / @asapguide