MCP really shines with a tool like Cline, Roo Code, or Cursor’s agent mode where an agent is writing code for you and needs access to tools. Some I’ve used successfully are Sentry for fixing errors or Figma for implementing a design. Most MCP servers are something you set up and run locally. It lets you set up auth once across tasks and configure which actions/tools are auto-approved so your agent can have higher autonomy during tasks. If you haven’t used Cursor or Cline you should give them a try.
Thank you for hints but the answer is about the same as I can find online - it just works with existing tools like Claude app or Cursor or Cline, but I specifically want to understand the mechanisms used and how I can take advantage of MCP servers using _local_ llms.
What’s wrong with the official MCP website? It guides you through building a server and an LLM-powered client. You can just have your local LLM operate the client and you’re set.
