GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Turn key: value notes, CSV/TSV and Markdown tables into typed JSON. Plain code, no AI, runs locally.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"json-shaper-lite": {
"command": "uvx",
"args": [
"json-shaper-lite",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add json-shaper-lite -- uvx json-shaper-lite mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"json-shaper-lite": {
"command": "uvx",
"args": [
"json-shaper-lite",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"json-shaper-lite": {
"type": "stdio",
"command": "uvx",
"args": [
"json-shaper-lite",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account tidybytetools, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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](https://tidybyte.gumroad.com/l/cznmeo)
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.
pip install json-shaper-lite
Or use pipx, which keeps it in its own space:
pipx install json-shaper-lite
Want the newest code from GitHub instead?
pip install git+https://github.com/tidybytetools/json-shaper-lite
Or 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.)
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.
007 or a zip code can turn into a number. Fix those by hand after.| json-shaper-lite | flatten-json | csvkit csvjson | pandas | |
|---|---|---|---|---|
| Main job | messy text → JSON | nested JSON → flat (and back) | CSV → JSON | full data toolkit |
| Install size | one file (pip adds mcp for the MCP server) | small | medium | large |
key: value notes | 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 (json_normalize) |
| 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.
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 mcp
Claude 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.
key: value lines, CSV/TSV, or a Markdown table and need typed JSON.--format kv|csv|markdown.uvx json-shaper-lite mcp gives two read-only tools, shape_text_to_json and shape_file_to_json.--json, one object: {"ok": true, "format": "csv", "data": [...]}. On error ok is false. Exit code 0 ok, 1 error.llms.txt.| lite (free) | json-shaper | |
|---|---|---|
| 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 |
tool.json manifest for scripts and AI agents | no | yes |
pip install "mcp>=1.10,<2"
python3 -m unittest discover tests
The MCP tests are skipped if mcp is not installed.
MIT. See LICENSE.