# TikTok Trends MCP (`trendsmcp/tiktok-trends-mcp`) Actor TikTok hashtag and trend data as an MCP tool for AI agents. Weekly series, growth rates, and live trending hashtags — no TikTok API approval needed. - **URL**: https://apify.com/trendsmcp/tiktok-trends-mcp.md - **Developed by:** [TrendsMCP 25+ data sources, one connection](https://apify.com/trendsmcp) (community) - **Categories:** AI, Agents, Social media - **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 ## TikTok Trends MCP TikTok hashtag and trend data as an MCP tool for AI agents. Weekly series, growth rates, and live trending hashtags — no TikTok API approval needed. **[Get your free API key at trendsmcp.ai](https://trendsmcp.ai)** — 100 requests/month, no credit card. --- ### Connect in 30 seconds #### Step 1 — Get your free API key Sign up at **[trendsmcp.ai](https://trendsmcp.ai)**. Your key arrives by email instantly. #### Step 2 — Add to your AI client ##### Cursor / Windsurf / VS Code ```json "trends-mcp": { "url": "https://api.trendsmcp.ai/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_TRENDS_API_KEY" } } ```` ##### Claude Desktop ```json "trends-mcp": { "command": "npx", "args": ["-y", "mcp-remote", "https://api.trendsmcp.ai/mcp", "--header", "Authorization:${AUTH_HEADER}"], "env": { "AUTH_HEADER": "Bearer YOUR_TRENDS_API_KEY" } } ``` Full setup guide at **[trendsmcp.ai/docs](https://trendsmcp.ai/docs)**. *** ### Three tools | Tool | What it does | |---|---| | `get_trends` | ~5 years of weekly time-series data for any keyword, normalized 0–100 | | `get_growth` | % change over any period (7D, 1M, 3M, 6M, 1Y, YTD, ...) across one or many sources | | `get_top_trends` | What's trending right now — no keyword needed | *** ### All 25+ data sources | source | Description | |---|---| | `google search` | Google search volume | | `google images` | Google image search volume | | `google news` | Google News search volume | | `google shopping` | Google Shopping search volume | | `youtube` | YouTube search volume | | `tiktok` | TikTok hashtag volume | | `reddit` | Reddit subreddit subscriber count | | `amazon` | Amazon product search volume | | `wikipedia` | Wikipedia page views | | `news volume` | News article mention volume | | `news sentiment` | News sentiment score (positive/negative) | | `app downloads` | Android app download estimates | | `app rankings` | Android app store rankings | | `npm` | npm package weekly downloads | | `steam` | Steam concurrent players | *** ### Live feeds (no keyword needed) Google Trends, TikTok Trending Hashtags, YouTube Trending, X (Twitter) Trending, Reddit Hot Posts, Wikipedia Trending, Amazon Best Sellers, App Store Top Free/Paid, Google Play, Spotify Top Podcasts, Steam Most Played, GitHub Trending Repos, IMDb MOVIEmeter, and more. *** ### Pricing | Plan | Requests/month | Price | |---|---|---| | Free | 100 | $0 — no credit card | | Starter | 1,000 | $19/month | | Pro | 5,000 | $49/month | | Business | 25,000 | $199/month | **[Get your free API key at trendsmcp.ai](https://trendsmcp.ai)** *** Trends MCP is an independent analytics service. Values are normalized proprietary estimates — not official platform metrics. See [trendsmcp.ai](https://trendsmcp.ai) for terms. # Actor input Schema ## `trendsApiKey` (type: `string`): Your API key from trendsmcp.ai. Get one free at https://trendsmcp.ai ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("trendsmcp/tiktok-trends-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("trendsmcp/tiktok-trends-mcp").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 trendsmcp/tiktok-trends-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=trendsmcp/tiktok-trends-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Trends MCP", "description": "TikTok hashtag and trend data as an MCP tool for AI agents. Weekly series, growth rates, and live trending hashtags — no TikTok API approval needed.", "version": "0.1", "x-build-id": "PPCNSkoqbw7ZfNaOy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/trendsmcp~tiktok-trends-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-trendsmcp-tiktok-trends-mcp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/trendsmcp~tiktok-trends-mcp/runs": { "post": { "operationId": "runs-sync-trendsmcp-tiktok-trends-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/trendsmcp~tiktok-trends-mcp/run-sync": { "post": { "operationId": "run-sync-trendsmcp-tiktok-trends-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "trendsApiKey": { "title": "Trends MCP API Key", "type": "string", "description": "Your API key from trendsmcp.ai. Get one free at https://trendsmcp.ai" } } }, "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 } } } } } } } } } } ```