Language Agnostic Entity Normalization And Schema Mapping

via “language-agnostic entity normalization and schema mapping”

An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.

Unique: Implements a normalization layer that maps language-specific entities from 14 languages to a unified graph schema, enabling language-agnostic queries and analysis. Preserves language-specific metadata while providing consistent interfaces for cross-language analysis.

vs others: More comprehensive than language-specific tools because it handles multiple languages uniformly; more practical than manual schema mapping because normalization is automated.

via “normalized result schema mapping across heterogeneous sources”

Smart MCP tool to find and validate movie/tv-show resources with multiple sources support

Unique: Implements schema mapping at the MCP tool boundary, ensuring LLMs always receive consistent data structures without needing to handle source-specific quirks

vs others: Normalizes data at search time vs. requiring clients to handle source-specific schemas, reducing downstream complexity in LLM prompts and agent logic