generate-csvLABSCO SUMMARY
The local fallback is the part worth noting: most model-backed tools simply fail when the upstream does, and this one degrades instead.
A generator that depends entirely on a hosted model has a single point of failure that shows up as an error at the worst moment. Having a local parse path means a simpler request still produces a file when the API call does not land. Beyond that this is deliberately one tool doing one thing — describe, receive a CSV — and the value is in skipping the step where you specify columns you have not decided on yet. Documentation and tool text are in Chinese.
What it is
A single-tool CSV generator: it takes a natural-language description, derives the column structure and the rows, and writes a file with a descriptive name.
What you get
- generate-csv produces the file from a description, extracting both the column structure and the data content rather than requiring a schema.
- The output filename is generated to describe the contents instead of being left to the caller.
- The delimiter is configurable, so the output can be something other than comma-separated.
- There is a local parsing fallback for when the Gemini call fails, so a service outage degrades rather than blocks.
Requirements
A Google Gemini API key, passed as a command-line argument at launch.
Setup effort
One command — npx -y structurize-mcp
USE CASES
01
Getting a data file from a description
Say what the rows should contain and receive a CSV with the columns inferred and a descriptive filename, rather than defining a schema first.
1 tool
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
BEFORE YOU INSTALL
What to know first
Tools you get
1 tool when we connected.
Requires
npx on PATH
CONTEXT COST
Light Standing cost
Rated by the size of the one tool definition that rides along on every turn
INSTALLATION
Connect your client
Add the block to your client, or run the command directly.
Server setup
Configuration file
JSON
{
"mcpServers": {
"structurize-mcp": {
"command": "npx",
"args": [
"-y",
"structurize-mcp"
]
}
}
}npx
TERMINAL
npx -y structurize-mcp
