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Ecommerce AI MCP

Ecommerce Ai MCP Server by MEOK AI Labs

Connector by CSOAI-ORG · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-ecommerce-ai-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Ecommerce Ai MCP Server by MEOK AI Labs

Reviews

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No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
3 read · 1 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 5

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

  • forecast_inventory
  • optimize_pricing
  • summarize_reviews

Write 1 · Create, change, send or run things.

  • write_product_description

Not yet classified 1 · We could not tell from the name and description.

  • generate_seo_meta

Tools (5)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • forecast_inventory

    Forecast inventory needs and generate reorder recommendations. Args: product_name: Product name. current_stock: Current units in stock. daily_sales_avg: Average daily unit sales. lead_time_days: Supplier lead time in days. safety_stock_days: Days of safety stock to maintain. sales_history: Optional list of recent daily sales for trend analysis. seasonal_factor: Seasonal demand multiplier (1.0 = normal, 1.5 = 50% higher). Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side…

  • generate_seo_meta

    Generate SEO-optimized meta tags for product pages. Args: product_name: Product name. category: Product category. features: Key product features. brand: Brand name. target_keywords: Specific keywords to target. Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs against est…

  • optimize_pricing

    Optimize product pricing using market data and strategy. Args: cost: Product cost (COGS). competitor_prices: List of competitor prices for the same/similar product. strategy: penetration | premium | competitive | economy | skimming | bundle. target_margin_pct: Target gross margin percentage (overrides strategy default). demand_level: low | medium | high (affects pricing recommendations). Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit…

  • summarize_reviews

    Summarize product reviews into actionable insights. Args: reviews: List with keys: rating (1-5), text, verified (bool, optional). Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards. When NOT to use: Not suitable for real-time production dec…

  • write_product_description

    Generate a compelling product description for an e-commerce listing. Args: product_name: Name of the product. category: electronics | clothing | home | beauty | sports | food. features: List of key product features. target_audience: general | young_adults | professionals | parents | luxury | budget. tone: professional | casual | luxury | minimalist | energetic. price: Product price (for value messaging). include_bullet_points: Whether to include formatted bullet points. Behavior: This tool generates structured output without modifying external systems. Out…

Signals

Stars
0
Forks
0
Open issues
0
Weekly downloads
64
Last commit
Sep 4, 2026 (1 month ago)
Last release
Aug 19, 2026 (2 months ago)
Last package publish
Jun 27, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.CSOAI-ORG/ecommerce-ai-mcp
Version
1.0.11
Auth
No auth
Packages
pypi ecommerce-ai-mcp
License
MIT
Repository
github.com/CSOAI-ORG/ecommerce-ai-mcp
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql

More from CSOAI-ORG

Cite this page

Ecommerce AI MCP. Agent Mart. https://agentmart.dev/connectors/csoai-org-ecommerce-ai-mcp (last updated 2026-10-25)