MCP Use Cases

With a database MCP server, your AI assistant becomes a SQL expert that already knows your schema. Ask questions in plain English and get instant, accurate answers — without writing a single query.

Setup: 10 minutes

The filesystem MCP server is the most popular starting point for most developers. It gives your AI the ability to list, read, write, and search files in a directory you specify — no more copy-pasting file contents into chat.

Setup: 5 minutes

The GitHub MCP server connects your AI directly to the GitHub API. Create issues, review pull requests, search code, and manage your repos — all through conversation, without switching to the browser.

Setup: 10 minutes

Two MCP servers cover web access: Fetch (for simple URL fetching and content extraction) and Puppeteer (for full browser control, including JavaScript-heavy pages, screenshots, and form interaction). Together they make your AI a capable web agent.

Setup: 15 minutes

Stop switching tabs to find information. With MCP servers for Notion, Google Drive, or local files, your AI can search your team's knowledge base and answer questions directly from your documentation.

Setup: 20 minutes

The Notion MCP server gives your AI direct access to your Notion workspace. Create pages, update databases, search across your workspace, and let the AI handle the organizational overhead while you focus on the work.

Setup: 15 minutes

By default, AI conversations start fresh each time. The Memory MCP server changes that — it stores a knowledge graph of entities and relationships on your machine, and the AI can read and write to it across sessions. Tell it once; it remembers.

Setup: 5 minutes

With the right MCP servers, your AI can go beyond reading code to running it. The Sequential Thinking and filesystem servers, combined with shell access in Cline or Cursor's Agent mode, enable an AI that can build, test, and debug autonomously.

Setup: 20 minutes