CoreModels MCP Server provides 16 tools for AI agents to manage graph-based data models, enabling creation, querying, and manipulation of entities, relations, and observations within structured knowledge graphs.
MCP server enabling AI assistants to explore schema.org types, generate JSON-LD examples, validate structured data, and navigate the complete ontology with fuzzy matching and caching.
A token-efficient, schema-aware MCP server that enables AI assistants to safely read, modify, query, and validate JSON, YAML, and TOML files with automatic schema detection and format conversion capabilities.
An MCP server that enables AI agents to generate, search, and reason over knowledge graphs from code, databases, docs, and open-data portals without requiring an LLM or API key.
An MCP server that enables AI agents to manage STAR-pattern architecture diagrams, creating, updating, listing, and building interactive viewers via tool calls.
