"YAML" matching MCP servers:

Digital identity layer for AI — your bio, career, skills, interests, and projects always available to every AI tool. Auto-generates profile from 342+ public APIs, 13 real-time plugins, YAML-based profiles with privacy-first local storage.

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.

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

Enables agents to search evidence-backed startup credits and deals, inspect Agent Readiness report cards, and prepare canonical declaration YAML from a stdio bridge to Sourcey's hosted MCP endpoint.

MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore governed semantic models, compile YAML metric definitions into optimized SQL across 8 engines (BigQuery, ClickHouse, Databricks, Dremio, DuckDB, MySQL, PostgreSQL, Snowflake), and execute analytics queries via natural language. Works with Claude, Cursor, Windsurf, and Copilot.

Serves a strictly read-only mail archive over MCP: ordered filter rules pull matching messages from any IMAP mailbox or the Gmail API and write them to disk as byte-faithful .eml plus markdown with YAML frontmatter. Exposes list_rules, list_messages, search_messages, read_message (with full-thread reads) and sync; it never sends, deletes or modifies mail.

A knowledge base MCP server that enables AI agents to search and reference structured business book notes stored as YAML files. It provides seven tools for accessing book information, highlights, concepts, and connections without relying on LLM APIs.