"YAML" matching MCP servers:

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

A Model Context Protocol server that exposes project-specific development tools (tests, linters, typecheckers) to coding assistants through a simple YAML configuration, eliminating the need for manual command approval.

Turns any YAML manifest into a fully-functional MCP server without hosting infrastructure, enabling custom tools, resources, and prompts via declarative configuration.

Gives AI assistants deep read/write access to the Unreal Editor through 21 category tools covering 525+ actions, plus a YAML flow engine for multi-step workflows.

A sandbox-first MCP server that enables AI agents to safely perform reverse-engineering tasks in fully isolated Docker containers, featuring zero-trust security, declarative YAML-based skills, and white-hat ethical safeguards.

A FastMCP server that dynamically loads tools from Python/YAML file pairs, acting as a stand-in for the Tools Framework in agentic-assembly-framework.

Provides 18 tools including calculator operations (add, subtract, multiply, divide, power, sqrt, log, trigonometric functions) and secure sandboxed file operations (read, write, append, delete, list) for LangGraph agents and MCP clients. Features async support, YAML configuration, comprehensive logging, and path traversal protection.

YAML-configured MCP server that exposes host commands as tools via HTTP, enabling safe execution from containers with sandboxing.

Enables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model architecture for scalable ML inference.

Enables the conversion of Dify applications into Model Context Protocol tools, supporting streaming responses and configured via YAML.