# API MCP Wrapper — Weather, Currency, IP Lookup & More (`happitap/api-mcp-wrapper`) Actor Call popular public APIs (weather, currency exchange, IP geolocation, public holidays) as Apify Actor runs — perfect for AI agent and MCP workflows. - **URL**: https://apify.com/happitap/api-mcp-wrapper.md - **Developed by:** [HappiTap](https://apify.com/happitap) (community) - **Categories:** MCP servers, Agents, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 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 ## API MCP Wrapper — Weather, Currency, IP Lookup & More Call popular public APIs (weather, currency exchange, IP geolocation, public holidays) as Apify Actor runs — perfect for AI agent and MCP workflows. An intelligent, Apify-ready Actor that seamlessly extracts data. Built with advanced tools and robust configurations to bypass modern protections and deliver structured data at scale. ### Features - **Scalable Data Extraction**: Efficiently crawls and extracts targeted information from the source website. - **Automated Anti-Bot Evasion**: Configured out of the box to bypass basic bot protections. (Note: For aggressive protections, Apify Residential proxies may be required). - **Auto-Abort Margin Protection**: Features a built-in 270s kill switch to ensure your scraper gracefully exits and pushes its dataset before encountering a hard timeout from Apify. ### Input Configuration This actor expects a JSON input configuration. Please refer to the Apify Console or the local `input_schema.json` for the full list of supported parameters, which typically include search terms, URLs, limits, and proxy settings. ### Output Structure The scraper pushes the extracted data to the Apify default dataset. ### How It Works The Actor utilizes modern Node.js scraping libraries (like `PlaywrightCrawler` or `CheerioCrawler`) to emulate real user interaction or perform fast HTTP requests, extracting structured data and pushing it directly to your dataset. # Actor input Schema ## `action` (type: `string`): The API action to perform. ## `city` (type: `string`): City name to get weather for. ## `from` (type: `string`): Source currency code (e.g. USD). ## `to` (type: `string`): Target currency code (e.g. INR). ## `amount` (type: `number`): Amount to convert. ## `ip` (type: `string`): IP address to look up. Leave empty to look up the actor's own IP. ## `country` (type: `string`): ISO 3166-1 alpha-2 country code (e.g. US, IN, GB). ## `year` (type: `integer`): Year to get holidays for. ## `baseCurrency` (type: `string`): Base currency for all exchange rates (e.g. USD). ## Actor input object example ```json { "action": "weather", "city": "London", "from": "USD", "to": "INR", "amount": 100, "country": "US", "year": 2025, "baseCurrency": "USD" } ```` # Actor output Schema ## `results` (type: `string`): Extracted data items stored in the default dataset. # 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 = { "action": "weather", "city": "London", "from": "USD", "to": "INR", "amount": 100, "country": "US", "year": 2025, "baseCurrency": "USD" }; // Run the Actor and wait for it to finish const run = await client.actor("happitap/api-mcp-wrapper").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 = { "action": "weather", "city": "London", "from": "USD", "to": "INR", "amount": 100, "country": "US", "year": 2025, "baseCurrency": "USD", } # Run the Actor and wait for it to finish run = client.actor("happitap/api-mcp-wrapper").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 '{ "action": "weather", "city": "London", "from": "USD", "to": "INR", "amount": 100, "country": "US", "year": 2025, "baseCurrency": "USD" }' | apify call happitap/api-mcp-wrapper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=happitap/api-mcp-wrapper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "API MCP Wrapper — Weather, Currency, IP Lookup & More", "description": "Call popular public APIs (weather, currency exchange, IP geolocation, public holidays) as Apify Actor runs — perfect for AI agent and MCP workflows.", "version": "1.0", "x-build-id": "FcgGbfn6mNPjeSncH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/happitap~api-mcp-wrapper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-happitap-api-mcp-wrapper", "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/happitap~api-mcp-wrapper/runs": { "post": { "operationId": "runs-sync-happitap-api-mcp-wrapper", "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/happitap~api-mcp-wrapper/run-sync": { "post": { "operationId": "run-sync-happitap-api-mcp-wrapper", "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", "required": [ "action" ], "properties": { "action": { "title": "Action", "enum": [ "weather", "currency", "ip_lookup", "holidays", "exchange_rates", "uuid" ], "type": "string", "description": "The API action to perform." }, "city": { "title": "City (for weather)", "type": "string", "description": "City name to get weather for." }, "from": { "title": "From Currency (for currency conversion)", "type": "string", "description": "Source currency code (e.g. USD)." }, "to": { "title": "To Currency (for currency conversion)", "type": "string", "description": "Target currency code (e.g. INR)." }, "amount": { "title": "Amount (for currency conversion)", "type": "number", "description": "Amount to convert." }, "ip": { "title": "IP Address (for ip_lookup)", "type": "string", "description": "IP address to look up. Leave empty to look up the actor's own IP." }, "country": { "title": "Country Code (for holidays)", "type": "string", "description": "ISO 3166-1 alpha-2 country code (e.g. US, IN, GB)." }, "year": { "title": "Year (for holidays)", "type": "integer", "description": "Year to get holidays for." }, "baseCurrency": { "title": "Base Currency (for exchange_rates)", "type": "string", "description": "Base currency for all exchange rates (e.g. USD)." } } }, "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 } } } } } } } } } } ```