What is dsers-mcp-product-py?

A product-import workflow for DSers, a dropshipping service that moves products from marketplaces such as AliExpress, Alibaba, or 1688 into online stores. The Python version prepares, previews, and pushes products to Shopify, Wix, or WooCommerce.

Use it to import products from marketplace URLs, edit them with store rules, preview the result, choose whether they are visible, push them to one or more stores, and check the import job status.

It puts rule discovery, preview, confirmation, and result checking into a defined order. It helps reduce mistakes when applying store, shipping, pricing, or visibility rules to one or many products.

dsers-mcp-product-py — Skill for Claude Code and Codex by PrathamITHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add PrathamITHub/dsers-mcp-product-py --skill dsers-mcp-product-py

Clone the repo

git clone --depth 1 https://github.com/PrathamITHub/dsers-mcp-product-py

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/prathamithub/dsers-mcp-product-py/dsers-mcp-product-py/github.svg)](https://agentmods.dev/skills/prathamithub/dsers-mcp-product-py/dsers-mcp-product-py)

Your own site

<a href="https://agentmods.dev/skills/prathamithub/dsers-mcp-product-py/dsers-mcp-product-py"><img src="https://agentmods.dev/badge/skills/prathamithub/dsers-mcp-product-py/dsers-mcp-product-py/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/prathamithub/dsers-mcp-product-py/dsers-mcp-product-py"><img src="https://agentmods.dev/badge/skills/prathamithub/dsers-mcp-product-py/dsers-mcp-product-py.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,524 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00064	$0.01524
Opus 5.5	$0.00026	$0.00610
Sonnet 5.5	$0.00013	$0.00305
Haiku 4.5	$0.00006	$0.00152

Measured 2mo ago against content hash 97aa2cf99368, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dsers-mcp-product-py scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DSers MCP Product (Python)

Workflow

Always follow this order:

get_rule_capabilities — discover stores, shipping profiles, supported rules
validate_rules — (optional) dry-run rule validation before importing
prepare_import_candidate — import from URL(s), apply rules, get preview with job_id
get_import_preview — (optional) reload a saved preview
set_product_visibility — (optional) toggle backend_only / sell_immediately
confirm_push_to_store — push to store(s)
get_job_status — verify push result

Step 1 is required before any import — it returns the store list, shipping profiles, and rule constraints.

Key Decisions

Single vs Batch

User gives one URL → use source_url in prepare_import_candidate
User gives multiple URLs → use source_urls (array). Each URL is processed independently; failures don't block others.
Mixed sources (AliExpress + 1688 + Alibaba) work in the same batch call.

Push Modes

Single: job_id + target_store
Batch: job_ids (array) + target_store
Multi-store: job_id + target_stores (array)
Batch + multi-store: job_ids + target_stores → N jobs x M stores

Shopify Shipping Profile

The system auto-discovers delivery profiles for Shopify stores. No manual GIDs needed.

Default behavior: picks the profile marked as default in DSers
To use a specific profile: set push_options.shipping_profile_name (e.g. "DSers Shipping Profile")
get_rule_capabilities returns shipping_profiles per Shopify store — show these to the user if they ask

Non-Shopify stores (Wix, WooCommerce) skip shipping profile entirely.

Rules

Rules are applied at prepare_import_candidate time and frozen into the job. They do NOT change at push time.

pricing: mode (provider_default, multiplier, fixed_markup), multiplier, fixed_markup, round_digits
content: title_prefix, title_suffix, title_override, description_override_html, description_append_html, tags_add
images: keep_first_n, drop_indexes

Read the full file on GitHub · 140 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 140 lines · 64 tokens per session scan A 97aa2cf99368

Subscribe to this mod's changes

dsers-mcp-product-py is a skill published in the GitHub repository PrathamITHub/dsers-mcp-product-py (2 stars, last pushed 23d ago), licensed MIT. It adds 64 tokens to every session and 1,524 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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dsers-mcp-product-py

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

DSers MCP Product (Python)

Workflow

Key Decisions

Single vs Batch

Push Modes

Shopify Shipping Profile

Rules

What this file has done since we first saw it

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