Vncntlabs Apify Examples MCP Server

VNCNT Labs Apify examples

Minimal, runnable code for calling VNCNT Labs tools through the Apify API. The numbered folders have the same call four ways: curl, Python (apify-client), Node.js (apify-client) and, where the tutorial uses it, an n8n workflow. The mcp/ folder connects Claude, ChatGPT, Cursor or VS Code to the same tools through Apify's MCP server.

All 26 tools

Every tool runs the same way: send its input as JSON and get rows back. The example folders cover six tools in depth. For the rest, use the generic call below with the input from the tool's input schema page.

Prices are from each tool's Store page on Oct 24, 2026. The Store page is always the current source.

Example folders

Setup

You need an Apify account and an API token (Apify Console > Settings > API & Integrations).

export APIFY_TOKEN=your_apify_token_here   # or copy .env.example to .env and load it; never commit it

pip install -r requirements.txt             # Python 3.10+
npm install                                 # Node 18+

Every example reads the token from the APIFY_TOKEN environment variable. Nothing in this repo contains a real token.

Any tool with curl

Replace TOOL with a slug from the table (for example backlink-checker) and the body with that tool's input:

curl -s -X POST "https://api.apify.com/v2/acts/vncntlabs~TOOL/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d '{"targets": ["example.com"]}'

Each tool's fields are at https://apify.com/vncntlabs/TOOL/input-schema. Sync calls wait up to 300 seconds; for bigger jobs start a run with POST /v2/acts/vncntlabs~TOOL/runs and read the dataset when it finishes.

Run the folder examples

python 01-keyword-search-volume/python_example.py
node 01-keyword-search-volume/node_example.mjs
./01-keyword-search-volume/curl.sh

Each script uses the tutorial's input by default. Pass a JSON file to use your own:

python 02-competitor-seo-report/python_example.py my-input.json

test-inputs/ holds the smallest useful input for each folder. scripts/smoke_test.sh runs all the Python and Node examples with them.

Note for Python: apify-client 3.x returns a Run object, so the dataset ID is run.default_dataset_id. Code written for 1.x/2.x uses run["defaultDatasetId"] instead.

n8n

Import 01-keyword-search-volume/n8n-workflow.json (Workflows > Import from file). Then create a Header Auth credential with name Authorization and value Bearer <your token>, and select it on the HTTP Request node.

Claude, ChatGPT, Cursor, VS Code (MCP)

The tools are grouped into five hosted MCP servers. Add one URL as a streamable HTTP server and sign in to Apify in the browser, or send your token as a Bearer header.

To mix tools, put any vncntlabs/<tool> names in one ?tools= list.

Then ask something like "Get US Google and Amazon search volume for these 40 keywords and sort by volume per KD point."

Costs

Every tool is pay per event, and you pay only for results returned, on your own Apify account. You can cap any run with the maximum charge setting (maxTotalChargeUsd).

License

MIT, see LICENSE. The data comes from the tools' providers under their terms. Not affiliated with Google, Amazon, YouTube, Etsy, eBay or the USPTO.