Transform, format, and analyze text without leaving your AI assistant workflow.

Available Tools

Tool	Description
case_to_camel	Convert text to camelCase
case_to_pascal	Convert text to PascalCase
case_to_snake	Convert text to snake_case
case_to_kebab	Convert text to kebab-case
case_to_constant	Convert text to CONSTANT_CASE
case_to_dot	Convert text to dot.case
case_to_no	Convert text to no case
case_to_pascal_snake	Convert text to Pascal_Snake_Case
case_to_path	Convert text to path/case
case_to_sentence	Convert text to Sentence case
case_to_train	Convert text to Train-Case
case_to_capital	Convert text to Capital Case
encode_base64	Encode text to Base64
decode_base64	Decode Base64 to text
encode_url	Encode text for URLs
decode_url	Decode URL-encoded text
encode_html	Encode HTML entities
decode_html	Decode HTML entities
format_json	Format and beautify JSON
format_xml	Format and beautify XML
format_sql	Format and beautify SQL
format_html	Format and beautify HTML
count_characters	Count characters in text
count_words	Count words in text
count_lines	Count lines in text
analyze_readability	Calculate readability metrics
string_trim	Trim whitespace from text
string_substring	Extract a substring
string_replace	Replace text
string_split	Split text into an array
string_join	Join an array into text
generate_uuid	Generate a UUID
validate_uuid	Validate a UUID
generate_md5	Generate MD5 hash
generate_sha1	Generate SHA-1 hash
generate_sha256	Generate SHA-256 hash
generate_sha512	Generate SHA-512 hash
generate_hmac	Generate HMAC hash
generate_lorem_ipsum	Generate lorem ipsum text
regex_test	Test a regex pattern against text
regex_replace	Replace text using a regex pattern
regex_extract	Extract matches using a regex pattern
regex_split	Split text using a regex pattern

🌟 Features

🔠 Case Transformations

• Convert text between camelCase, PascalCase, snake_case, kebab-case
• Support for CONSTANT_CASE, dot.case, no case, Pascal_Snake_Case
• Additional formats: path/case, Sentence case, Train-Case, Capital Case
• Customizable with delimiter and locale options

🔄 String Encoding/Decoding

• Base64 encoding and decoding
• URL encoding and decoding
• HTML entity encoding and decoding
• Secure and reliable conversions

📝 Formatting and Beautification

• JSON formatting with customizable indentation
• XML formatting and pretty-printing
• SQL query formatting and standardization
• HTML code beautification

📊 Text Analysis

• Character counting (with and without spaces)
• Word counting with accurate tokenization
• Line counting for multi-line text
• Readability scoring (Flesch-Kincaid, etc.)

✂️ String Manipulation

• Trim whitespace (start, end, or both)
• Extract substrings with precise control
• Replace text with powerful options
• Split text into arrays and join arrays into text

🆔 UUID/GUID Generation

• Generate UUIDs (v1, v4, v5, or nil)
• Validate existing UUIDs
• Customizable options for all UUID versions

🔒 Hash Generation

• MD5 hash generation
• SHA-1, SHA-256, and SHA-512 hashing
• HMAC hash generation with custom keys
• Secure cryptographic functions

📄 Lorem Ipsum Generation

• Generate placeholder text
• Customizable length and format
• Control paragraph and sentence structure

🔍 Regex Pattern Testing

• Test regex patterns against text
• Replace text using regex patterns
• Extract matches using regex patterns
• Split text using regex patterns

💻 Installation

Prerequisites

• Node.js 16.x or higher - The TextToolkit MCP server requires Node.js 16+ to run properly.

Setup

To run the TextToolkit MCP server using Node.js npx, use the following command:

npx -y @cicatriz/text-toolkit@latest

Client-Specific Installation

Cursor

To add this server to Cursor IDE:

1. Go to Cursor Settings > MCP
2. Click + Add new Global MCP Server
3. Add the following configuration to your global .cursor/mcp.json file:

{
  "mcpServers": {
    "text-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "@cicatriz/text-toolkit"
      ]
    }
  }
}

See the Cursor documentation for more details.

Windsurf

To set up MCP with Cascade, navigate to Windsurf - Settings > Advanced Settings or Command Palette > Open Windsurf Settings Page.

Scroll down to the Cascade section and add the TextToolkit MCP server directly in mcp_config.json:

{
  "mcpServers": {
    "text-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "@cicatriz/text-toolkit"
      ]
    }
  }
}

Cline

Add the following JSON manually to your cline_mcp_settings.json via Cline MCP Server setting:

{
  "mcpServers": {
    "text-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "@cicatriz/text-toolkit"
      ]
    }
  }
}

Roo Code

Access the MCP settings by clicking Edit MCP Settings in Roo Code settings or using the Roo Code: Open MCP Config command in VS Code's command palette:

{
  "mcpServers": {
    "text-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "@cicatriz/text-toolkit"
      ]
    }
  }
}

Claude

Add the following to your claude_desktop_config.json file:

{
  "mcpServers": {
    "text-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "@cicatriz/text-toolkit"
      ]
    }
  }
}

See the Claude Desktop documentation for more details.

CLI

You can also run it as CLI by running the following command:

npx -y @cicatriz/text-toolkit@latest

Alternative Installation Methods

Install from npm

# Install globally from npm
npm install -g @cicatriz/text-toolkit

# Run the server
text-toolkit

Manual Installation

# Clone the repository
git clone https://github.com/Cicatriiz/text-toolkit.git
cd text-toolkit

# Install dependencies
npm install

# Build the project
npm run build

# Run the server
node dist/index.js

💬 Usage

Command Line

# Start in stdio mode (default)
text-toolkit

# Start in SSE mode on a specific port
text-toolkit --sse --port=8000

# Display version
text-toolkit --version

Testing with MCP Inspector

You can test the TextToolkit MCP server using the MCP Inspector:

# Install the MCP Inspector
npm install -g @modelcontextprotocol/inspector

# Run the inspector against your server
mcp-inspector @cicatriz/text-toolkit

Examples

The repository includes example scripts demonstrating how to use the TextToolkit MCP server:

# Run the case transformation example
node examples/case-transform-example.js

This example demonstrates how to:

1. Connect to the TextToolkit MCP server
2. List available tools
3. Transform text to different cases
4. Use custom options for transformations

🔧 Available Tools

1. case_to_camel

Converts text to camelCase.

Parameters:

• text: The text to transform
• delimiter (optional): The character to use between words
• locale (optional): Locale for case conversion
• mergeAmbiguousCharacters (optional): Whether to merge ambiguous characters

Example:

{
  "text": "hello world test"
}

Response:

{
  "result": "helloWorldTest"
}

2. case_to_pascal

Converts text to PascalCase.

Parameters:

• text: The text to transform
• delimiter (optional): The character to use between words
• locale (optional): Locale for case conversion
• mergeAmbiguousCharacters (optional): Whether to merge ambiguous characters

Example:

{
  "text": "hello world test"
}

Response:

{
  "result": "HelloWorldTest"
}

3. encode_base64

Encodes text to Base64.

Parameters:

• text: The text to encode

Example:

{
  "text": "hello world"
}

Response:

{
  "result": "aGVsbG8gd29ybGQ="
}

4. decode_base64

Decodes Base64 to text.

Parameters:

• text: The Base64 string to decode

Example:

{
  "text": "aGVsbG8gd29ybGQ="
}

Response:

{
  "result": "hello world"
}

5. format_json

Formats and beautifies JSON.

Parameters:

• text: The JSON text to format
• indent_size (optional): Number of spaces for indentation (1-8). Defaults to 2.

Example:

{
  "text": "{\"name\":\"John\",\"age\":30,\"city\":\"New York\"}",
  "indent_size": 4
}

Response:

{
  "result": "{\n    \"name\": \"John\",\n    \"age\": 30,\n    \"city\": \"New York\"\n}"
}

6. count_characters

Counts characters in text.

Parameters:

• text: The text to analyze

Example:

{
  "text": "hello world"
}

Response:

{
  "total_characters": 11,
  "characters_without_spaces": 10
}

7. string_replace

Replaces text.

Parameters:

• text: The text to perform replacements on
• search: The string to search for
• replace: The string to replace with
• replace_all (optional): Whether to replace all occurrences. Defaults to true.

Example:

{
  "text": "hello world",
  "search": "world",
  "replace": "universe"
}

Response:

{
  "result": "hello universe"
}

8. generate_uuid

Generates a UUID.

Parameters:

• version (optional): UUID version to generate (v1, v4, v5, nil). Defaults to v4.
• namespace (optional): Namespace for v5 UUID (required for v5)
• name (optional): Name for v5 UUID (required for v5)
• uppercase (optional): Whether to return the UUID in uppercase. Defaults to false.

Example:

{
  "version": "v4"
}

Response:

{
  "uuid": "f47ac10b-58cc-4372-a567-0e02b2c3d479"
}

9. generate_lorem_ipsum

Generates lorem ipsum text.

Parameters:

• count (optional): Number of units to generate. Defaults to 5.
• units (optional): Type of units to generate (words, sentences, paragraphs). Defaults to sentences.
• paragraphLowerBound (optional): Minimum sentences per paragraph. Defaults to 3.
• paragraphUpperBound (optional): Maximum sentences per paragraph. Defaults to 7.
• sentenceLowerBound (optional): Minimum words per sentence. Defaults to 5.
• sentenceUpperBound (optional): Maximum words per sentence. Defaults to 15.
• format (optional): Output format (plain, html). Defaults to plain.

Example:

{
  "count": 2,
  "units": "sentences"
}

Response:

{
  "text": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut hendrerit ipsum in nulla euismod, vel ultrices nisi tincidunt."
}

10. regex_test

Tests a regex pattern against text.

Parameters:

• text: The text to test against the pattern
• pattern: The regex pattern to test
• flags (optional): Regex flags (e.g., 'g', 'i', 'gi'). Defaults to 'g'.

Example:

{
  "text": "hello world",
  "pattern": "\\w+",
  "flags": "g"
}

Response:

{
  "matches": ["hello", "world"],
  "match_count": 2,
  "is_match": true
}

💬 Example Queries in Claude Desktop

• "Convert 'hello world' to camelCase"
• "Encode 'hello world' to Base64"
• "Format this JSON: {"name":"John","age":30}"
• "Count the characters in 'hello world'"
• "Replace 'world' with 'universe' in 'hello world'"
• "Generate a UUID"
• "Generate 2 sentences of lorem ipsum"
• "Test if 'hello world' matches the regex pattern '\w+'"
• "Convert 'Hello World' to snake_case"
• "Decode this Base64 string: aGVsbG8gd29ybGQ="

💻 Technical Details

Architecture

TextToolkit is built using the Model Context Protocol (MCP) specification, which allows it to integrate seamlessly with Claude Desktop and other MCP-compatible clients. The server is implemented in TypeScript and uses the following architecture:

• Core Services: Implements text transformation, encoding/decoding, and formatting
• MCP Server: Handles JSON-RPC requests from clients
• Utility Functions: Provides helper functions for text operations
• Testing Framework: Includes comprehensive test scripts for verifying functionality

Dependencies

• change-case - For case transformation operations
• crypto-js - For hash generation
• js-beautify - For code formatting and beautification
• uuid - For UUID generation and validation
• lorem-ipsum - For placeholder text generation
• @modelcontextprotocol/sdk - For MCP server implementation

Requirements

• Node.js 16.x or higher
• npm 7.x or higher

📝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

🔍 Testing

TextToolkit includes comprehensive test scripts that can be used to verify the functionality of the MCP server. The test scripts can be used to test both stdio and SSE modes.

Running Tests

# Test stdio mode
node test-comprehensive.js

# Test SSE mode
node test-sse-comprehensive.js

🔒 Privacy & Security

TextToolkit processes all data locally and does not send any information to external servers. Your text data and queries remain private on your device.

📃 License

MIT

👨‍💻 Author

Cicatriz