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Make Cursor AI 100x More Powerful With MCP Servers

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Make Cursor AI 100x More Powerful With MCP Servers

AI Summary

Summary of ‘Setting Up an mCP Server in Cursor AI’

Introduction

  • Explanation of mCP (Model Context Protocol).
  • mCP standardizes how applications provide context to LLMs (Large Language Models).
  • Functions as a middleman for communication between LLMs and external tools.

mCP Server in Cursor AI

  • Visit Cursor directory for various mCP servers available for use.
    • Examples: Airtable, Atlan, Cloudflare, Stripe, Figma.

Implementing Superbase mCP

  1. Access Superbase:
    • Go to project settings to copy the session poller.
  2. Configuration:
    • Replace the placeholder password in the connection string with your PostgreSQL password.
    • Create a .cursor folder in your project and add an mCP.json file.
    • Paste the connection string.
  3. Activating mCP Server:
    • Enable the mCP server in Cursor settings. Once the dot turns green, it’s active.

Testing the Setup

  • Example queries:
    • Ask for tables in the Superbase project, which will display the list of tables.
    • Demonstration of adding new tables and entries.
    • Querying for data in the newly added sample table.

Additional Resources

  • Explore Cursor directory for more mCP servers like Google Ads, Obsidian, Google Drive, etc.

Conclusion

  • Quick recap of setting up and utilizing an mCP server within Cursor AI.

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