#Integrating Convex with AI Coding Tools

9 messages · Page 1 of 1 (latest)

untold coral
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AI coding tools and Convex communicate via API, where we can prompt AI coding tools to integrate with Convex. are there step by step guides with the steps we need to take in Convex to establish a connection between two tools and prompt the 3rd party AI coding tool to achieve the outcome - both tools/platforms connected and tables in convex created automatically whenever new page is created in another platform?

create a project in convex, generate deployment URL, etc... I'm not clear what I need to do in convex to achieve this outcome

storm spearBOT
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Hi @untold coral. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Convex offers integration with AI coding tools through its Model Context Protocol (MCP) server, which allows AI agents to interact with your Convex deployment. Here's how you can set this up:

Setting Up Convex MCP Server

The Convex CLI includes a built-in MCP server that gives AI coding agents access to your Convex deployment. To set it up:

  1. Install the Convex CLI if you haven't already:

    npm install convex

  2. Start the Convex MCP server with:

    npx -y convex@latest mcp start

Integrating with Specific AI Coding Tools

For Cursor

  1. Open "Cursor Settings > MCP"
  2. Click "Add new global MCP server"
  3. Add a "convex" section to "mcpServers" in the mcp.json file:
    {  
  "mcpServers": {  
    "convex": {  
      "command": "npx",  
      "args": ["-y", "convex@latest", "mcp", "start"]  
    }  
  }  
}
  4. Ensure the "convex" server is enabled (should be lit up green)

Using Cursor with Convex

For Windsurf

  1. Open "Windsurf Settings > Cascade > Model Context Protocol (MCP) Servers"
  2. Click "Add Server" then "Add custom server"
  3. Add the same configuration as above for Convex
  4. Return to the MCP Servers screen and click "Refresh"

Using Windsurf with Convex

Available Tools Through MCP

Once connected, your AI coding tool can use these capabilities:

  • Deployment Tools: Query available deployments
  • Table Tools: List tables, view schemas, and paginate through documents
  • Function Tools: Get metadata about deployed functions and execute them
  • Environment Variable Tools: List, get, set, and remove environment variables

Convex MCP Server Documentation

Enhancing AI Code Generation

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For better results with AI code generation:

  1. Add Convex rules to your project:

  2. Keep Convex running with npx convex dev to automatically generate client-side types

  3. Update your README.md with project details to provide context for the AI

AI Code Generation with Convex

Regarding automatically creating tables when pages are created in another platform, you would need to:

  1. Create a Convex function that can be called via API
  2. Set up a webhook or integration in the other platform to call your Convex function
  3. Implement the table creation logic in your Convex function

The specific implementation would depend on the other platform you're integrating with, but the MCP server provides the tools needed for AI agents to help you build this integration.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@untold coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

untold coral
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@storm spear you are mentioning Cursor and Windsurf only... we cant integrate with other AI coding tools, such as Lovable.dev or v0?

storm spearBOT
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Let me check the knowledge base for you again. One moment! :books:

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You're right to ask about other AI coding tools beyond Cursor and Windsurf. The knowledge sources primarily mention Cursor and Windsurf as they have specific integration guides, but Convex's MCP server can potentially work with other AI coding tools as well.

The Convex MCP server follows the Model Context Protocol standard, which is designed to be a standardized way for AI agents to interact with different tools. While the documentation specifically mentions testing with Cursor and plans to test with other agents like Windsurf and Claude Desktop, it doesn't explicitly exclude other AI coding tools.

From the knowledge sources:

"For the MCP server beta, we've only tested it with Cursor on macOS Sequoia. We'll be testing more agents (e.g. Windsurf and Claude Desktop) on more operating systems in the future. But, in the meantime, configuring these tools with the same npx -y convex@latest mcp start command should work." Stack > Convex MCP Server

There's no specific mention of Lovable.dev or v0 integration in the provided knowledge sources. However, if these tools support the Model Context Protocol standard, there's a possibility they could work with Convex's MCP server using the same command.

For tools that don't support MCP, you can still use Convex's general AI rules and guidelines to help these tools generate appropriate Convex code. The knowledge sources mention that Convex is designed to work well as a generation target for AI tools due to its well-specified semantics:

"Convex works really well as a generation target for a lot of AI tools due to the well-specified semantics. people are building businesses based on this." Discord support thread: Convex's compatibility

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If you're specifically interested in v0, there is a brief mention of using it for prototyping:

"After the initial frantic prototyping phase I did using v0 and composer I did have to go through and take some time to understand and untangle a bunch of things by hand." Stack > Shop Talk: Building an AI-Powered Voice-Controlled Shopping Agent with Daily Bots and Convex

For the most up-to-date information on integrating with other AI coding tools, I'd recommend reaching out to the Convex community through their Discord channel or checking their latest documentation.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: