
AI Watercolor Generator MCP server
Which servers in the official MCP registry are AI Watercolor Generator's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-21
- Registry namecom.aiwatercolorgenerator/watercolorverified in the MCP registry
The registry name sits under aiwatercolorgenerator.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-21
- Tools3
- Server calls itselfAI Watercolor Generator
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-21 the server answered initialize and tools/list without a sign-in. First answer in 58 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 2 of the 7 days it takes to judge reliability.
Once connected
- edit_watercolor change data without a sign-in: anyone with the address can call them.
- Parameters are untyped or undescribed in 3 of 3 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
- Use10 npm downloads a week
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer1051 ms
- Space in an agent's context≈ 431 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsC · 67 of 100
- Typed results0 of 3 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 3 of 3
- Not saying whether it only reads or can destroy: 3 of 3
Worth a look
- Tools that change data, on a server that answers without a sign-in: edit_watercolor
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
generate_watercolorSubmit an asynchronous watercolor image generation task.
edit_watercolorSubmit an asynchronous watercolor edit using trusted uploaded image URLs.
get_watercolor_taskGet the current status and output of a watercolor image task.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"watercolor": {
"type": "http",
"url": "https://www.aiwatercolorgenerator.com/api/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http aiwatercolorgenerator https://www.aiwatercolorgenerator.com/api/mcpclaude.ai, ChatGPT and other clients: add https://www.aiwatercolorgenerator.com/api/mcp as a custom connector in the settings.
Also shipped through: npm
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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