Toon Parse MCP

Name: Toon Parse MCP
Author: ankitpal181

by ankitpal181version 1.0.3-betai★ –iRuns on your computer

Registry nameio.github.ankitpal181/toon-parse-mcp

Install

Overview

Description from the maker (original English)

MCP server that reduces LLM context by removing code comments and converting data formats to TOON

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "toon-parse": {
      "command": "uvx",
      "args": [
        "toon-parse-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add toon-parse -- uvx toon-parse-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "toon-parse": {
      "command": "uvx",
      "args": [
        "toon-parse-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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "toon-parse": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "toon-parse-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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ankitpal181, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7283 servers in this category
Published to the registry more recently than 2% of the other 7283 servers in this category
Basic checks equal to or better than 100% of the other 7283 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Toon Parse MCP safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.3-beta) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

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.

toon-parse MCP Server

mcp-name: io.github.ankitpal181/toon-parse-mcp

A specialized Model Context Protocol (MCP) server that optimizes token usage by converting data to TOON (Token-Oriented Object Notation) and stripping non-essential context from code files.

Overview

The toon-parse-mcp MCP server helps AI agents (like Cursor, Claude Desktop, etc.) operate more efficiently by:

Optimizing Code Context: Stripping comments and redundant spacing from code files while preserving functional structure and docstrings.
Data Format Conversion: Converting JSON, XML, YAML, and CSV inputs into the compact TOON format to save tokens.
Mandatory Efficiency Protocol: A built-in resource that instructs LLMs to prioritize token-saving tools.

Features

Tools

optimize_input_context(raw_input: str): Processes raw text data (JSON/XML/CSV/YAML) and returns optimized TOON format.
read_and_optimize_file(file_path: str): Reads a local code file and returns a token-optimized version (no inline comments, minimized whitespace).

Resources

protocol://mandatory-efficiency: Provides a strict system instruction prompt for LLMs to ensure they use the optimization tools correctly.

Installation

pip install toon-parse-mcp

Configuration

Cursor

Open Cursor Settings -> MCP.
Click "+ Add New MCP Server".
Name: toon-parse-mcp
Type: command
Command: python3 -m toon_parse_mcp.server (Ensure your environment is active or use absolute path to python)

Windsurf

Click the hammer icon in the Cascade toolbar and select "Configure".
Alternatively, edit ~/.codeium/windsurf/mcp_config.json directly.
Add the following to the mcpServers object:

"mcpServers": { "toon-parse-mcp": { "command": "python3", "args": ["-m", "toon_parse_mcp.server"] } } }

Antigravity

Open the MCP store via the "..." menu at the top right of the agent panel.
Select "Manage MCP Servers" -> "View raw config".
Alternatively, edit ~/.gemini/antigravity/mcp_config.json directly.
Add the following to the mcpServers object:

"mcpServers": { "toon-parse-mcp": { "command": "python3", "args": ["-m", "toon_parse_mcp.server"] } } }

Claude Desktop

Add this to your claude_desktop_config.json:

"mcpServers": { "toon-parse-mcp": { "command": "python3", "args": ["-m", "toon_parse_mcp.server"] } } }

Usage

When the server is active, the AI will have access to the optimize_input_context and read_and_optimize_file tools. You can also refer to the efficiency protocol by asking the AI to "check the mandatory efficiency protocol".

Testing

To run the test suite:

Install test dependencies:

   pip install -e ".[test]"

Run tests:

   pytest tests/

Requirements

Python >= 3.10
mcp >= 1.25.0
toon-parse >= 2.4.3

License

MIT License - see LICENSE for details.

Toon Parse MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

toon-parse MCP Server

Overview

Features

Tools

Resources

Installation

Configuration

Cursor

Windsurf

Antigravity

Claude Desktop

Usage

Testing

Requirements

License