MCP.Market

Schema Gen MCP server

by sharozdawa·io.github.sharozdawa/schema-gen·v1.0.0

Generate Schema.org JSON-LD markup for 12 types including Person, Product, and FAQ.

B75/100grade B
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Safety scan
B75/100

full report

Adoption
New

0 stars40 downloads/wk

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Schema Gen tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • generate_article_schema

    Generate an Article JSON-LD schema for blog posts, news articles, or other written content.

  • generate_faq_schema

    Generate a FAQPage JSON-LD schema from a list of question-answer pairs.

  • generate_organization_schema

    Generate an Organization JSON-LD schema for companies, non-profits, or other organizations.

  • generate_person_schema

    Generate a Person JSON-LD schema with common fields like name, job title, social profiles, and more.

  • generate_product_schema

    Generate a Product JSON-LD schema with pricing, brand, availability, and other product details.

  • generate_schema

    Generate JSON-LD structured data for any Schema.org type. Provide the schema type and a set of key-value field pairs.

  • list_schema_types

    List all supported Schema.org types with their available fields and descriptions.

  • validate_schema

    Validate an existing JSON-LD schema. Checks for required fields, proper @context, valid @type, and common issues.

Public scan report

scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan6 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 190 days ago4/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 75/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Schema Gen compares

Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
75/100
higher than 50% of 2,176 E-commerce servers
Tools
8
the typical E-commerce server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
40
more than 40% of 403 E-commerce servers with a package

What its tools let an agent do: 2 read · 6 create

Install Schema Gen in Claude Code, Cursor or VS Code

Runs npx -y schema-gen-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add schema-gen -- npx -y schema-gen-mcp
Add to Cursor

What the publisher says

From the Schema Gen repository's README, as published. We do not edit it. Read it on GitHub

Generate Schema.org JSON-LD structured data markup for any schema type. Web app with live preview + MCP server for AI-powered schema generation.

Features

  • :sparkles: 12 Schema Types — Person, Organization, Product, FAQ, Article, LocalBusiness, Event, WebSite, BreadcrumbList, HowTo, Review, VideoObject
  • :eyes: Live JSON-LD Preview — See your structured data rendered in real-time as you fill in fields
  • :clipboard: One-Click Copy — Copy generated JSON-LD to clipboard instantly
  • :whitecheckmark: Google Rich Results Ready — Output is validated against Google's structured data requirements
  • :robot: MCP Server — Use with Claude Desktop, Cursor, or any MCP-compatible AI assistant
  • :shield: Schema Validation — Validate existing JSON-LD for errors and warnings
  • :zap: No Dependencies — Clean, standalone web app with zero external runtime dependencies

Supported Schema Types

Screenshots

Screenshots coming soon.

Getting Started

Web App

# Clone the repository
git clone https://github.com/sharozdawa/schema-gen.git
cd schema-gen

# Install dependencies
npm install

# Start the development server
npm run dev

Open http://localhost:3000 in your browser.

MCP Server

The MCP server lets AI assistants generate Schema.org markup directly. Install it in your preferred AI tool:

Claude Desktop

Add to your claudedesktopconfig.json:

{
  "mcpServers": {
    "schema-gen": {
      "command": "npx",
      "args": ["-y", "schema-gen-mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Schema Gen: common questions

Is Schema Gen MCP server safe?
Mostly: it is graded B (75/100). Read the Schema Gen safety report
How do I install Schema Gen?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Schema Gen need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Schema Gen maintained?
The last commit was 225 days ago (2026-03-22). The latest release is v1.0.0.
What can I use instead of Schema Gen?
Servers from other publishers that do the same job: HasData Walmart MCP server, Aidemo MCP server and PostHog MCP Server.
How does Schema Gen compare with other E-commerce MCP servers?
safety score 75/100 (higher than 50% of 2,176 E-commerce servers); tools 8 (the typical E-commerce server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Schema Gen

Same job from other publishers: the closest match first, then the best rated.

  • HasData Walmart
    Walmart search, product pages and customer reviews on walmart.com and walmart.ca, as JSON.
    A
  • Aidemo
    Narrated, captioned product-demo MP4 from a storyboard.json; re-renders itself in CI at ~$0.
    A
  • PostHog MCP Server
    Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
    A
  • Loki Mode
    Autonomous spec-to-product coding-agent CLI with an MCP server exposing 39 tools over stdio.
    B
  • New-Term Radar
    New AI model, product and repo names as they surface, and the search terms behind them, sized.
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