Content Tools
curlyflies.com
Provides file upload, re-hosting, and management via a simple API.
ENDPOINT 1
https://mcp.curlyflies.com/mcp
MCP server metadata
- Name
- CurlyFlies
- Version
- 3.4.2
Publishing infrastructure for AI-generated content. Upload a file or re-host a URL and get back a publish-grade public URL — direct bytes, correct Content-Type, no cookies or redirects — that passes Instagram, Buffer, and Meta Ads crawler validation. Files expire automatically (24h default, up to 90 days by plan), so URLs can outlive a scheduled post and then vanish.
Known tools 4
CONNECT 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.curlyflies]
url = "https://mcp.curlyflies.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"curlyflies": {
"type": "http",
"url": "https://mcp.curlyflies.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: curlyflies
Remote MCP URL: https://mcp.curlyflies.com/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": {
"curlyflies": {
"url": "https://mcp.curlyflies.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"curlyflies": {
"type": "http",
"url": "https://mcp.curlyflies.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "curlyflies",
"transport": "streamable-http",
"url": "https://mcp.curlyflies.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for curlyflies.com was fetched 2026-08-01T06:53:54.181Z and is being refreshed.
curlyflies.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.