# xsantcastx MCP Server (`xsantcastx/xsantcastx-mcp-server`) Actor 14 developer tools for AI agents: JSON format, UUID, JWT, regex, hash, WCAG contrast, cron, and more. Zero API calls. - **URL**: https://apify.com/xsantcastx/xsantcastx-mcp-server.md - **Developed by:** [Santiago castrillon](https://apify.com/xsantcastx) (community) - **Categories:** Developer tools, Automation, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## xsantcastx MCP Server An [MCP (Model Context Protocol)](https://modelcontextprotocol.io) server that exposes **xsantcastx.com** developer tools for AI agents. All tools run server-side with zero external API calls — pure Node.js computation. ### Tools Available | Tool | Description | |------|-------------| | `json_format` | Format, minify, validate, or analyze JSON | | `json_schema_generate` | Generate JSON Schema from sample data (Draft 4/7/2020-12) | | `uuid_generate` | Generate UUIDs v4 (bulk, multiple formats) | | `uuid_validate` | Validate and inspect UUID strings | | `base64_encode` | Encode text to Base64 (standard or URL-safe) | | `base64_decode` | Decode Base64 to text | | `jwt_decode` | Decode JWT tokens (header, payload, expiration) | | `regex_test` | Test regex patterns with match details and groups | | `regex_replace` | Find and replace using regex | | `hash_generate` | Generate hashes (MD5, SHA-1, SHA-256, SHA-384, SHA-512) | | `hash_verify` | Verify a string matches a hash (auto-detects algorithm) | | `color_contrast` | WCAG 2.1 contrast ratio checker with AA/AAA compliance | | `cron_parse` | Parse cron expressions with human-readable descriptions | | `cron_build` | Build cron expressions from options or presets | ### Quick Start #### Install from npm ```bash npm install -g xsantcastx-mcp-server ```` #### Use with Claude Desktop Add to your `claude_desktop_config.json`: ```json { "mcpServers": { "xsantcastx-tools": { "command": "npx", "args": ["xsantcastx-mcp-server"] } } } ``` #### Use with Claude Code ```bash claude mcp add xsantcastx-tools npx xsantcastx-mcp-server ``` #### Run locally ```bash git clone https://github.com/xsantcastx/xsantcastx-mcp-server.git cd xsantcastx-mcp-server npm install npm run build npm start ``` ### Development ```bash npm run dev ## Watch mode npm run build ## Compile TypeScript npm start ## Run server ``` ### Architecture The server uses the official `@modelcontextprotocol/sdk` and communicates over **stdio**. Each tool is implemented as a pure function in `src/tools/` — no external API calls, no network requests, no secrets. Everything runs locally. ``` src/ ├── index.ts ## MCP server entry point + tool registrations └── tools/ ├── json-formatter.ts ## JSON format/minify/validate ├── json-schema.ts ## JSON Schema generation ├── uuid-generator.ts ## UUID v4 generation + validation ├── base64.ts ## Base64 encode/decode ├── jwt-decoder.ts ## JWT token inspection ├── regex-tester.ts ## Regex testing + replacement ├── hash-generator.ts ## Cryptographic hashing ├── color-contrast.ts ## WCAG contrast checking └── cron-parser.ts ## Cron expression parsing ``` ### Listing - **Apify**: [apify.com/xsantcastx/xsantcastx-mcp](https://apify.com/xsantcastx/xsantcastx-mcp) *(pending)* - **MCP Market**: [mcpmarket.com](https://mcpmarket.com) *(pending)* - **Web**: [xsantcastx.com](https://xsantcastx.com) ### License MIT — xsantcastx # Actor input Schema ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("xsantcastx/xsantcastx-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("xsantcastx/xsantcastx-mcp-server").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call xsantcastx/xsantcastx-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xsantcastx/xsantcastx-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "xsantcastx MCP Server", "description": "14 developer tools for AI agents: JSON format, UUID, JWT, regex, hash, WCAG contrast, cron, and more. Zero API calls.", "version": "1.0", "x-build-id": "poD0e04UfcH27OSA4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xsantcastx~xsantcastx-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xsantcastx-xsantcastx-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xsantcastx~xsantcastx-mcp-server/runs": { "post": { "operationId": "runs-sync-xsantcastx-xsantcastx-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xsantcastx~xsantcastx-mcp-server/run-sync": { "post": { "operationId": "run-sync-xsantcastx-xsantcastx-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": {} }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```