AI & Machine Learning
thumbnailcreator.ai
Generates AI thumbnail images from prompts using multiple models and provides generation status and account usage information.
ENDPOINT 1
https://thumbnailcreator.ai/api/mcp
MCP server metadata
- Name
- thumbnailcreator
- Version
- 1.0.0
Known tools 4
list_modelsLists available thumbnail image models with the price per image in USD.
Inferred read-onlygenerate_thumbnailsGenerates thumbnail images from a prompt with one or more models (up to 8 images per call).
Inferred read-onlyaccount_usageShows free allowance left, this month's spend and billing status for the API key's account.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.thumbnailcreator]
url = "https://thumbnailcreator.ai/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"thumbnailcreator": {
"type": "http",
"url": "https://thumbnailcreator.ai/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: thumbnailcreator
Remote MCP URL: https://thumbnailcreator.ai/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"thumbnailcreator": {
"url": "https://thumbnailcreator.ai/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"thumbnailcreator": {
"type": "http",
"url": "https://thumbnailcreator.ai/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "thumbnailcreator",
"transport": "streamable-http",
"url": "https://thumbnailcreator.ai/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
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Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.