Enables efficient navigation and search of large JSON files (>10MB) through intelligent path exploration and fuzzy search capabilities, designed to save tokens by avoiding loading entire files into context.
Converts oversized JSON arrays into a compact toon-style textual representation to reduce token consumption and compress context for LLM agent pipelines.
Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.
Large-file-safe JSON MCP server with 10 tools: format, validate, search, JSONPath query, deep diff, and multi-format conversion (CSV/TSV/YAML/TypeScript). Handles JSON of any size without crashing.
Converts JSON data and system prompts to and from TOON (Token-Oriented Object Notation) format, reducing token usage by 30-60% when interacting with LLMs while preserving data structure.