For anyone who’s using Kilo Code with Tidewave MCP without using a proxy (which seems to handle dev server restarts fine), it’s necessary to specify that the Streamable HTTP transport be used:
.kilocode/mcp.json:
{
"mcpServers": {
"Tidewave": {
"url": "http://localhost:4000/tidewave/mcp",
"type": "streamable-http",
"headers": {},
"alwaysAllow": [],
"disabled": false
}
}
}
I haven’t trusted myself with using in-editor LLM AI up until now, thinking it’s important that I understand every line of code in a project, and instead have only asked Perplexity for help with specific bits of code. I’ve now tried Tidewave Web, set up an Anthropic API/console account (I gathered this would be better than Copilot for additional, general, non-coding use), installed Kilo Code in VS Code and added the Tidewave MCP server to it. It’s still very early days - as mentioned, I haven’t been a big user of AI for coding - and I’ve only really used it for one (Ecto-related) thing so far, but, boy - it seems like it’s going to save a lot of time. As well as solving what I’d asked it about, it seemed to cotton on to the next step before I’d asked about it, decided to look for an existing schema (which I’d happened to have already created), found the right one, and added more working code, which I then discussed and had it refine/DRY-out.
Thanks very much for making this available! I expect I’ll be subscribing to the Web edition for the LiveView-related capabilities, even though I may want to handle the exact HTML and CSS myself.
Oh, and just a note in case it’s useful for others going with Anthropic API, I found that with the initial, free $5-credit tier of Anthropic API, the rate limit for input tokens was predicted to be reached, so I needed to add a credit card and add another $5 to get to tier 1 with less restrictive input token rate-limiting.
