AI Watercolor Generator MCP Server

by aiwatercolorgenerator Your server? Claim it

answering

AI Watercolor Generator is answering right now. Last checked 7 min ago. 41 installs a week from npm. It exposes 3 tools. Last commit 17 Sep 2026.

Create watercolor art from text or transform existing images into watercolor paintings with AI.

Installs per day peak 9 · avg 3 · +583% w/w

a month agotoday

Uptime history 47 days of history · worst day 93%

47 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

650 ms

Response time

average over 24h

Installs / week

npm and PyPI

Nothing serious here today

Today is the operative word: we check AI Watercolor Generator every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add watercolor --transport http https://www.aiwatercolorgenerator.com/api/mcp

Settings → Connectors → Add custom connector, then paste this address

https://www.aiwatercolorgenerator.com/api/mcp

~/.codex/config.toml

[mcp_servers.watercolor]
url = "https://www.aiwatercolorgenerator.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "watercolor": {
      "url": "https://www.aiwatercolorgenerator.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "watercolor": {
      "type": "http",
      "url": "https://www.aiwatercolorgenerator.com/api/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

edit

edit_watercolor

Submit an asynchronous watercolor edit using trusted uploaded image URLs.

generate

generate_watercolor

Submit an asynchronous watercolor image generation task.

watercolor

get_watercolor_task

Get the current status and output of a watercolor image task.

Endpoints

URL	Transport	State	Latency	Checked
https://www.aiwatercolorgenerator.com/api/mcp	streamable-http	answering	741 ms	7 min ago

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AI Watercolor Generator — questions

Answers built from our own checks of this server.

What can AI Watercolor Generator do?

It exposes 3 tools, read directly from the server on our last check. Among them: edit_watercolor, generate_watercolor, get_watercolor_task. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is AI Watercolor Generator working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 650 ms. The bar chart above shows every period we have measured.

How do I connect AI Watercolor Generator?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does AI Watercolor Generator need an API key?

No. AI Watercolor Generator completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is AI Watercolor Generator?

It answers our handshake in 650 ms on average, which is faster than 16% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use AI Watercolor Generator?

The npm package @ai-watercolor-generator/mcp was installed 41 times in the last week. Week over week that is +583%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is AI Watercolor Generator open source?

The code is open source: it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at aiwatercolorgenerator.com, which runs on its operator's own terms.