Import Check: Validate & Clean CSV
io.github.LeBorgneAntoinev0.1.0Updated Sep 30, 2026
Validate and clean CSV with explicit rules. Find bad rows. Free demo; EUR 9 prepaid.
Overview
AI-generated overview
Lets an assistant validate and clean CSV files against explicit rules, flagging bad rows before import.
- What it does
- This remote MCP server checks CSV data against rules you specify and reports rows that fail, so an assistant can point out problems before the file is imported elsewhere. It also cleans the data according to those rules. The registry description presents it as a way to find bad rows and produce a corrected file.
- When to use it
- Useful when you regularly import CSV exports into a system and want an assistant to catch malformed or rule-breaking rows first. It fits data preparation and import-checking tasks rather than general spreadsheet editing.
- Requirements
- A remote streamable HTTP endpoint; nothing to install locally. The fixed free demo and example need no credentials. Custom CSV work requires an Authorization header with a Bearer API key, and paid usage is prepaid at EUR 9 for 100 operations over 90 days.
Before you install
Custom CSV processing requires an Authorization Bearer API key, so treat that key as a secret. Paid usage is prepaid at EUR 9 for 100 operations over 90 days, so check the operation count before relying on it. Your CSV content is sent to a third-party remote service, which matters for sensitive or regulated data.
Installation
In SourceWeft
- Open Import Check: Validate & Clean CSV in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"import-check": {
"type": "http",
"url": "https://import-check-production.up.railway.app/mcp"
}
}
}Tools
0Tool metadata has not been indexed yet.
Version history
1- v0.1.0LatestSep 30, 2026


