LM Studio

LM Studio lets you run large language models locally on your machine. With MCP support (available from LM Studio 0.3.6+), you can connect Geekflare tools to any local model, giving it the ability to scrape pages, search the web, take screenshots, and look up DNS.

Setup

Open the Developer settings

In LM Studio, go to Settings → Developer and enable MCP Servers.

Edit the MCP config file

LM Studio uses a JSON config file. Open it via Settings → Developer → Edit MCP Config and add:

Remote URL (Recommended)
Local via npx

{
  "mcpServers": {
    "geekflare": {
      "url": "https://mcp.geekflare.com/YOUR_API_KEY/mcp"
    }
  }
}

Requires Node.js installed locally.

{
  "mcpServers": {
    "geekflare": {
      "command": "npx",
      "args": ["-y", "@geekflare/mcp"],
      "env": {
        "API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Replace YOUR_API_KEY with your Geekflare API key. Save the file.

Restart LM Studio

Restart LM Studio to load the new MCP server. Open a chat and verify the tools appear in the tool list.

Usage Examples

In the LM Studio chat with any local model: Scrape a webpage

Scrape https://example.com and extract the main content as markdown.

Search the web

Search for "LLM fine-tuning guide" and summarize the top results.

Screenshot

Take a screenshot of https://lmstudio.ai and tell me what you see.

DNS lookup

Look up the A and MX records for lmstudio.ai.

Tool calling capability depends on the local model you are using. Models with strong function-calling support (e.g. Qwen, Mistral, Llama 3.1+) will use Geekflare tools more reliably.

Getting started

Quickstarts

Guides

MCP Server

Capabilities

Best Practices

Troubleshooting

Changelog

Setup

Usage Examples

​Setup

​Usage Examples

Setup

Usage Examples