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dataify-mcp-cli

v0.1.30

Published

Cross-platform CLI for calling Dataify MCP API tools.

Downloads

1,523

Readme

Dataify MCP CLI

Cross-platform npm CLI for calling the tools exposed by the dataify_mcp_api MCP HTTP service.

中文用户使用文档请查看 NPM_USAGE.md

The MCP endpoint is fixed to:

https://mcp.dataify.com/mcp?token=<your_api_token>&tools=user_info,web_unlocker,google_serp,yandex_serp,duckduckgo_serp,bing_serp,amazon,youtube,facebook,instagram,reddit,walmart,google,booking,indeed,airbnb,google_play_store,github,tiktok,linkedin,glassdoor,twitter,crunchbase,zillow,ebay

Only <your_api_token> is configurable.

Install

From this package directory:

npm install -g .

Or run without global install:

npx . tools --token YOUR_TOKEN

Configure

dataify config set --token YOUR_TOKEN

Environment variables also work and override the saved config:

PowerShell:

$env:DATAIFY_MCP_TOKEN="YOUR_TOKEN"

cmd.exe:

set DATAIFY_MCP_TOKEN=YOUR_TOKEN

macOS/Linux shells:

export DATAIFY_MCP_TOKEN=YOUR_TOKEN

Commands

Run the setup wizard:

dataify init

The init wizard saves a Dataify token, optionally installs MCP configuration into agent tools, optionally installs Dataify skills, then prints common next commands.

Non-interactive init examples:

dataify init --token YOUR_TOKEN --skip-mcp --skip-skill
dataify init --token YOUR_TOKEN --yes
dataify init --github-token YOUR_GITHUB_TOKEN

Start interactive mode:

dataify

Or explicitly:

dataify chat

Install Dataify MCP into agent tools:

dataify mcp

Install Dataify skills from GitHub:

dataify skill

Non-interactive skill install:

dataify skill --agent universal,codex --skill serp-google-search
dataify skill --agent all --all

List tools visible to the current token:

dataify tools

Show account balance:

dataify balance

Choose tools by category, inspect parameters, then run them:

dataify serp
dataify scraper
dataify webunlock

After a tool is selected, the CLI prints the parameter table and opens one editable command line with defaults.

Show a tool's parameter names and descriptions:

dataify schema google_search

Call a tool:

dataify google_search --q "pizza" --json 1

Equivalent generic form:

dataify call google_search --q "pizza" --json 1

Call the web unlocker:

dataify request_web_unlocker --url https://example.com --type html

Call a status query with integer-like values:

dataify query_common_collection_api_task_status --status -1 --page 1 --pageSize 10

Arguments

Unknown --name value flags are sent as MCP tool arguments. Dashes are converted to underscores, so --no-cache true becomes no_cache.

More explicit forms are available:

dataify call google_search --arg q=pizza --arg json=1
dataify call query_common_collection_api_task_status --arg-json page=1
dataify call google_search --args-json '{"q":"pizza","json":"1"}'
dataify call google_search --args-file params.json

Use --raw to print the full MCP tool result instead of just structuredContent or text content.

Notes

  • The token is passed as the token query parameter.
  • The MCP URL and tools query parameter are fixed in the CLI; only the token changes.
  • This CLI requires Node.js 18.17 or newer.