Structured Data Tools FAQs

Question 1

Can I use it with my existing AI agent or LLM client?

Accepted Answer

Yes, it's compatible with any MCP client, including Claude Code CLI, Cursor, Windsurf, VS Code with Continue, Zed Editor, and other MCP-compatible tools that support the Model Context Protocol.

Question 2

What are its key features for data querying and validation?

Accepted Answer

It offers token-efficient queries using 'yq' (jq-compatible expressions) to extract specific data paths. It also provides robust schema validation against JSON schemas and constraint validation using LMQL for guided generation and input checks.

Question 3

What is Structured Data Tools (mcp-json-yaml-toml)?

Accepted Answer

Structured Data Tools is an MCP (Model Context Protocol) server designed to enable AI agents to safely interact with JSON, YAML, and TOML configuration files. It prevents AI from breaking data files, hallucinating fields, or corrupting syntax.

Question 4

What file formats does Structured Data Tools support?

Accepted Answer

It offers unified support for JSON, YAML, and TOML files. You can read, modify, validate, and convert between these formats, providing comprehensive structured data management.

Question 5

How does it ensure AI agents safely modify files?

Accepted Answer

It provides safe modifications by validating all changes against schemas (SchemaStore.org or custom) before writing. It also preserves existing comments, formatting, and YAML anchors/aliases, ensuring file integrity and round-trip safety.

Structured Data Tools

Structured Data Tools

Características Principales

Casos de Uso

Características Principales

Casos de Uso