"YAML" matching MCP servers:

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.

Parses Unity text-serialized .prefab, .unity, and .asset files to output only Inspector-visible data in hierarchical YAML, reducing token usage by up to 96%.

Architectural sensor for Python codebases. Scores structural health (modularity, acyclicity, depth, equality), detects import cycles, enforces YAML layer rules, and runs a snapshot/diff loop so AI-assisted edits do not silently regress structure.

Enables AI coding agents to verify code against YAML specifications, detecting missing fields, extra fields, and type mismatches to prevent silent drift before commits.

compare 2 text or data (supports text diffs, json, json5, yaml, toml, xml and html). powered by jsondiffpatch

MCP server for safely inspecting and editing Unity/VRChat prefabs, scenes, and assets. It diagnoses override collisions, broken references, and runtime exceptions, with read-only YAML analysis and write operations via an Editor Bridge.

MCP server for OpenEdge ABL — pluggable tool architecture with per-project YAML configuration. Provides AI assistants with 24 tools to parse, analyze, lint, document, and scaffold ABL projects.

A contract linter for AI agents that uses structured YAML contracts to define dependencies, business rules, and exports, enabling agents to work without breaking project conventions.

Provides AI coding assistant rules and guidelines for Bürokratt modules, including expertise in DSL-based backend (Ruuter YAML, SQL), frontend development, browser debugging, fork synchronization, and service testing capabilities.

Enables validation of Dify Workflow DSL YAML files through MCP protocol. Allows users to check the validity and structure of Dify workflow definition files.