JSON YAML TOML MCP Server

Example Use Cases

• 1

  Safely read and modify large JSON, YAML, or TOML files without breaking formatting or syntax.

• 2

  Schema validation to ensure data correctness before writing changes.

• 3

  Token-efficient access to structured data by extracting only relevant parts of files.

Description

This MCP server provides AI assistants with a safe, schema-validated interface to read, query, and modify structured data files in JSON, YAML, and TOML formats. It preserves formatting and comments, enforces schema validation on writes, and supports token-efficient partial data extraction. The server also supports LMQL for guided generation and incremental validation, enabling more reliable AI interactions with structured data. All processing is local-first, ensuring data privacy and automatic management of dependencies and schemas.