json-shaper-lite
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
json-shaper-lite
Free tool that turns key: value notes, CSV/TSV and Markdown tables into clean JSON.
Need app logs or US addresses parsed too? The paid version does that: json-shaper on Gumroad
Plain code, not AI, so the same text always gives the same JSON. Runs on your own computer. MIT license. Works with Python 3.10 and newer, on Windows, Mac and Linux.
Links
Website — product page with prices and options
Pro version on Gumroad — app logs and US address parsing
Related MCP server: docbot-mcp
Install
pip install json-shaper-liteOr use pipx, which keeps it in its own space:
pipx install json-shaper-liteWant the newest code from GitHub instead?
pip install git+https://github.com/tidybytetools/json-shaper-liteOr just download json_shaper_lite.py and run it with python3. That one file uses only Python's standard library. (Installing with pip also adds the mcp package, which the MCP server needs.)
Use it
printf 'Name: Ada\nAge: 36\nActive: yes' | json-shaper-lite
json-shaper-lite export.csv
json-shaper-lite notes.md --format markdown
json-shaper-lite export.csv --json # {"ok": true, "format": "csv", "data": [...]}Output:
{"name": "Ada", "age": 36, "active": true}Numbers come out as numbers, yes/no and true/false as booleans, and empty or "null" as null. The format is detected for you, or you can set it with --format kv|csv|markdown.
From Python:
from json_shaper_lite import shape
shape("x,y\n1,2") # {'format': 'csv', 'data': [{'x': 1, 'y': 2}]}When you run it in a terminal it prints one short line about the paid version to stderr after the result. It never goes into your JSON output, it only shows when you are looking at a terminal, and --quiet turns it off.
Known limits
It makes flat JSON. It does not flatten or unflatten nested JSON. For that, use a tool like flatten-json.
Types are a best guess. A value like
007or a zip code can turn into a number. Fix those by hand after.One table per run. Two Markdown tables in one file get mixed together. Split them first.
No app logs or addresses. Those are in the paid version.
How it compares to other free tools
json-shaper-lite | csvkit | pandas | ||
Main job | messy text → JSON | nested JSON → flat (and back) | CSV → JSON | full data toolkit |
Install size | one file (pip adds | small | medium | large |
| yes | no | no | no |
Markdown tables | yes | no | no | no, not built in |
CSV/TSV | yes | no | yes | yes |
Guesses numbers and true/false | yes | no | yes | yes |
Nested JSON flatten/unflatten | no | yes | no | yes ( |
MCP server for AI apps | yes | no | no | no |
If your data is already JSON and just too nested, flatten-json is the better pick.
Use it from Claude Desktop or Cursor (MCP)
There is a small free MCP server built in. It gives your AI app two tools. Both only read. They never write or change files, and they never use the internet. It needs uv.
Run it by hand to check it starts (it waits quietly for an app to talk to it):
uvx json-shaper-lite mcpClaude Desktop (claude_desktop_config.json) or Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"json-shaper-lite": {
"command": "uvx",
"args": ["json-shaper-lite", "mcp"]
}
}
}uvx --from json-shaper-lite json-shaper-lite-mcp starts the same server.
Tools:
shape_text_to_json(text, format="auto"): for text in the chat.shape_file_to_json(path, format="auto"): for a text file on your computer (.txt, .csv, .tsv, .md, up to 5 MB).
Both return {"format": "csv", "data": [...]}. format can be auto, kv, csv or markdown.
For AI agents
Use when: you have plain text in
key: valuelines, CSV/TSV, or a Markdown table and need typed JSON.Don't use when: the input is already JSON, it's app logs, or it's nested data. Use the paid version for logs.
Input: text on stdin or a file path. Optional
--format kv|csv|markdown.MCP:
uvx json-shaper-lite mcpgives two read-only tools,shape_text_to_jsonandshape_file_to_json.Output: with
--json, one object:{"ok": true, "format": "csv", "data": [...]}. On errorokis false. Exit code 0 ok, 1 error.Hint lines go to stderr only, and only in a terminal, so stdout is always clean JSON. See also
llms.txt.
Lite vs paid
lite (free) | ||
key: value notes, CSV/TSV, Markdown tables | yes | yes |
App logs (timestamp, level, message, key=value fields) | no | yes |
One-line US address splitter | no | yes |
| no | yes |
Tests
pip install "mcp>=1.10,<2"
python3 -m unittest discover testsThe MCP tests are skipped if mcp is not installed.
FAQ
What input does it take? key: value notes, CSV/TSV, or a Markdown table.
Do my files leave my computer? No. The tool runs on your computer and never uses the internet.
How is this different from the Pro version? Pro also parses app logs and one-line US addresses.
Does it work with AI apps? Yes. It includes a free MCP server. No API key.
License
MIT. See LICENSE.
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Maintenance
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