schema-gen-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_schemaA | Generate JSON-LD structured data for any Schema.org type. Provide the schema type and a set of key-value field pairs. |
| list_schema_typesA | List all supported Schema.org types with their available fields and descriptions. |
| generate_person_schemaA | Generate a Person JSON-LD schema with common fields like name, job title, social profiles, and more. |
| generate_product_schemaB | Generate a Product JSON-LD schema with pricing, brand, availability, and other product details. |
| generate_faq_schemaB | Generate a FAQPage JSON-LD schema from a list of question-answer pairs. |
| generate_article_schemaA | Generate an Article JSON-LD schema for blog posts, news articles, or other written content. |
| generate_organization_schemaB | Generate an Organization JSON-LD schema for companies, non-profits, or other organizations. |
| validate_schemaA | Validate an existing JSON-LD schema. Checks for required fields, proper @context, valid @type, and common issues. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Each tool targets a distinct schema type or function (generation for specific types, generic generation, listing, validation) with no overlapping purposes, making it easy for an agent to select the correct tool.
All tool names follow a consistent verb_noun snake_case pattern (e.g., generate_article_schema, list_schema_types, validate_schema), ensuring predictability and readability.
With 8 tools, the set is well-scoped for generating, listing, and validating JSON-LD schemas; it covers essential functionality without being bloated or insufficient.
The tool surface provides generation for common schema types, a generic generator for any type, type listing, and validation—covering the full lifecycle of creating and checking schemas with no obvious gaps.