Local LLMs are becoming increasingly popular, but they often lack personalization and utility due to their reliance on cloud services. That’s where three essential MCP servers come in – SearXNG-MCP, Spotify-MCP, and MCP-Obsidian.
These servers can be used with OpenWebUI or LM Studio to fill the gaps of what cloud-based LLMs can do. They work by abstracting data from APIs and providing a local interface for your model to access information. This ensures that your personal data remains private and secure.
Here’s how each server works:
– SearXNG-MCP: Provides search capabilities, allowing you to query the web directly from your local LLM.
– Spotify-MCP: Allows you to control Spotify and fetch music details, making recommendations based on your current listening history.
– MCP-Obsidian: Links your model directly with your Obsidian vault, enabling you to query and update knowledge base.
By chaining these servers together or using them individually, you can create a personalized AI system that’s connected to your personal world. This setup is not only more secure but also provides a better experience than cloud-based models.
Start by setting up SearXNG-MCP for web searches alone. The other two servers are optional but highly recommended for their utility and personalization capabilities.
Source: https://www.xda-developers.com/mcp-servers-changed-local-llm-better-than-cloud