TextFormatter MCP Server

TextToolkit MCP Server A Model Context Protocol (MCP) server that provides text transformation, formatting, and analysis tools for AI workflows. About this MCP Server: For details on connecting and using this MCP server, see the official Model Context Protocol documentation at mcp.apify.com. ## Connection URL MCP clients can connect to this server at: text https://mcp-servers--formatter-mcp-server.apify.actor/mcp ## Client Configuration To connect to this MCP server, use the following configuration in your MCP client: json { "mcpServers": { "text-toolkit": { "url": "https://mcp-servers--formatter-mcp-server.apify.actor/mcp", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } } Note: Replace YOUR_APIFY_TOKEN with your Apify API token. You can find your token in the Apify Console. ## 🚩 Claim this MCP server All credits to the original authors of https://github.com/Cicatriiz/text-toolkit To claim this server, please write to ai@apify.com. ## Features - Transform, format, and analyze text - Case conversions (camelCase, snake_case, etc.) - String encoding/decoding (Base64, URL, HTML) - JSON, XML, SQL, HTML formatting - Text analysis (character, word, line count, readability) - String manipulation (trim, substring, replace, split, join) - UUID generation and validation - Hash generation (MD5, SHA, HMAC) - Lorem Ipsum generation - Regex pattern testing and manipulation ## Available Tools This server provides the following tools: - 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 ## Tool Details ### Example: 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: json { "text": "hello world test" } Response: json { "result": "helloWorldTest" } ### Example: 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: json { "text": "{\"name\":\"John\",\"age\":30,\"city\":\"New York\"}", "indent_size": 4 } Response: json { "result": "{\n \"name\": \"John\",\n \"age\": 30,\n \"city\": \"New York\"\n}" } ## References To learn more about Apify and Actors, take a look at the following resources: - Apify SDK for JavaScript documentation - Apify SDK for Python documentation - Apify Platform documentation - Apify MCP Server - Webinar: Building and Monetizing MCP Servers on Apify - Join our developer community on Discord