skills.rest
swcstudiospace
swcstudiospaceOFFICIAL
Explore all skills by this author →
Website𝕏@govantarcticaGitHub

ai-dropshipping-agency-mcp

Controls an Agno AgentOS dropshipping agency through MCP tools for product research and lifecycle workflows.

Updated Aug 19, 2026
Search Tags:#workflow automation#mcp#e-commerce#agentos#agno#dropshipping#product research
One-click install
npx skills add https://github.com/swcstudiospace/aimeecodes --skill ai-dropshipping-agency-mcp-swcstudiospace
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-dropshipping-agency-mcp
Source: https://github.com/swcstudiospace/aimeecodes/tree/main/.aimee/skills/ai-dropshipping-agency-mcp
Command: npx skills add https://github.com/swcstudiospace/aimeecodes --skill ai-dropshipping-agency-mcp-swcstudiospace

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Coordinating a multi-agent dropshipping operation—product research, supplier vetting, creative production, store launch, and retention—requires orchestrating many specialized agents and workflows, which is complex to drive manually through raw APIs. ## Core Features & Use Cases - MCP Control Plane: Connects to an Agno AgentOS instance over MCP (http://127.0.0.1:7777/mcp) exposing tools like run_agent, run_team, run_workflow, and custom agency tools such as agency_health, agency_roster, and run_product_rank. - Product Discovery & Ranking: Runs Parallel-powered product ranking (lite through ultra processors) and reads generated JSON/Markdown reports with GO/TEST/NO-GO verdicts and contribution margins. - Full Lifecycle Workflows: Triggers multi-team workflows such as full-product-lifecycle, marketing-launch, supplier-onboarding, and weekly-performance-review across 18 specialist agents and 7 teams. - Use Case: Ask the agent to find winning products in a niche; it runs run_product_rank with the ultra processor, reads the latest report, summarizes top candidates, then launches the full-product-lifecycle workflow with human approval gates for spend and publishing. ## Quick Start Ask the agent to check agency health, then run a product rank for your chosen niche using the ultra processor and summarize the top GO and TEST candidates from the latest report.

Frequently Asked Questions about ai-dropshipping-agency-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run product research with the AI dropshipping agency?▼

Call the run_product_rank MCP tool with a niche and processor level (lite through ultra), then read the results with read_product_rank_report. Reports are saved as JSON and Markdown files under the agency's tmp/runs directory with GO/TEST/NO-GO verdicts.

How do I trigger the full product lifecycle workflow in AgentOS?▼

Use the run_workflow tool with workflow_id full-product-lifecycle and a message containing the winning product brief. The workflow coordinates research, supply, creative, store, launch, and retention teams with L2 autonomy requiring human approval for spend and publishing.

Why are MCP tools missing in my Hermes session?▼

MCP tools are discovered when the Hermes process starts, so you must restart the TUI or gateway after adding or changing the MCP server configuration. Verify the connection first with hermes mcp test ai-agency.

What is the difference between run_product_rank and run_workflow?▼

run_product_rank is a custom pipeline using Parallel ultra research plus scoring for product discovery, while run_workflow executes multi-team Agno workflows like the full product lifecycle. Use them in sequence: rank first, then launch the lifecycle with the winning candidate.

Can the agency launch ads or spend money autonomously?▼

No. The default autonomy level is L2, meaning agents produce drafts and a human must approve ad spend, publishing, supplier purchase orders, and public claims. Spend approvals go through request_ad_spend_approval and confirm_spend_approval, not through agents.

Related Skills

Explore More Personal & Entrepreneur Skills→
martin-cousseaumartin-cousseau

deploy-platform

Deploys an AgentOS platform to production using provider CLI scripts and verifies the live deployment.

Community
Advanced
vruum-gtmvruum-gtm

demand-gen-loop

Orchestrates LinkedIn demand generation workflows with approval gates for paid campaigns.

Official
Advanced
minhnv0807minhnv0807
526

05-ad-copy-global

Generate platform-fit ad copy variations for Meta, TikTok, and Google Ads.

Community
Advanced
allankltsnallankltsn

agno-teams

Create multi-agent teams in Agno with a leader model that delegates tasks dynamically.

Community
Intermediate