eCommerce
causaprima.ai
Generates, retrieves, and manages invoices with support for multiple jurisdictions and email verification.
ENDPOINT 1
https://scribo.causaprima.ai/mcp
MCP server metadata
- Name
- scribo
- Version
- 0.2.0
Known tools 4
get_invoiceFetch a previously generated invoice by its `invoice_id` and return its current metadata plus a freshly signed download URL.
Potential side effectslist_supported_jurisdictionsList jurisdictions Scribo can emit invoices for, with each jurisdiction's available formats and the default format applied when no override is given.
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.scribo]
url = "https://scribo.causaprima.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"scribo": {
"type": "http",
"url": "https://scribo.causaprima.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: scribo
Remote MCP URL: https://scribo.causaprima.ai/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": {
"scribo": {
"url": "https://scribo.causaprima.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"scribo": {
"type": "http",
"url": "https://scribo.causaprima.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "scribo",
"transport": "streamable-http",
"url": "https://scribo.causaprima.ai/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 causaprima.ai was fetched 2026-07-29T21:40:25.652Z and is being refreshed.
causaprima.ai is assessed as Caution: Domain is currently showing placeholder (lorem ipsum) content.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.