"YAML" matching MCP servers:

Exposes design system component documentation to LLM clients via MCP, allowing listing and retrieving component contexts from Markdown files with YAML frontmatter.

An MCP server for managing pandoc/CSL-YAML bibliographies and verifying citations in documents.

Enables local analysis of OpenAPI 3 and Swagger 2 JSON/YAML spec files on disk, with no remote fetching of specs or credentials. It groups endpoints by tag, flags operations that appear to lack security, lists deprecated operations, and produces short markdown cheat sheets for agents.

Enables AI assistants to navigate and query hierarchical documentation structures, supporting markdown files with YAML metadata and OpenAPI 3.x specifications. It features intelligent full-text search, metadata filtering, and a built-in web interface for both human and AI-driven documentation access.

A project-agnostic Open Knowledge Format MCP server that indexes Markdown concepts with YAML frontmatter and provides CLI and MCP tools for search, validation, and graph navigation of structured knowledge.

Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.

Manages patent application drafts via structured YAML and LaTeX sections, with tools for claims, figures, numerals, prior art, glossary, and export.

Builds and serves local MCP-searchable documentation indexes for Daml, Canton, and related projects, enabling search and query of documentation through MCP tools.

Retrieves architectural information from ArchiMate models, enabling AI coding assistants to access architectural context during the software development lifecycle. Supports search and retrieval of views and elements in markdown, JSON, or YAML.

Persistent project context in Rust. 8 MCP tools via rmcp SDK — parse, validate, score, compress, discover, and token analysis. Single binary, zero config. IANA-registered format (application/vnd.faf+yaml). One file, every AI platform.

MCP server for structured document management of markdown and YAML files, with RBAC, git-based approval workflows, and semantic search, enabling agents to read, edit, and maintain documents under governance.

Serves SKILL.md-based skills as MCP resources and tools over streamable HTTP, enabling remote discovery and retrieval of skill files with full YAML frontmatter parsing.

A simple MCP server for utilizing prompts defined in YAML files.

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 browsing, searching, and expanding a knowledge base of markdown nodes with YAML frontmatter from within a chat, supporting document ingest and generative HTML widgets.

Downloads Confluence Cloud pages as Markdown with images, preserving folder hierarchy and providing YAML frontmatter.

Enables MCP-compatible clients to search OpenTelemetry Collector documentation and validate pipeline YAML, enforcing processor ordering rules such as memory_limiter first.

Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.