"YAML" matching MCP servers:

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.

Provides AI agents with persistent execution context across sessions through local YAML files, enabling shared memory, task tracking, milestone management, and context hygiene for single or multi-agent workflows.

Local one-shot YAML/JSON agent workflow CLI with tools, approvals, and resume, plus an optional stdio MCP server. Apache-2.0, BYOK.

Validate and generate SOUL.md agent identity files. SOUL.md is the open format for persistent AI agent identity — personality, voice, values, and constraints in a machine-readable YAML file.

Enables AI assistants to manage tasks through YAML-based storage with subtask suggestions, status updates, and Mermaid Gantt chart generation. Supports hierarchical task structures with attributes like dependencies, milestones, and parallel execution.

Policy enforcement gateway for MCP tool calls, evaluating every tool invocation against declarative YAML policies (allow/deny/escalate-to-human), generating cryptographic hash-chained audit receipts, and including built-in content safety scanning.

A declarative framework that manages LLM resources, prompts, and tools through YAML configuration files. It enables LLMs to interact with external data, CLI commands, and Python functions using the Model Context Protocol.

MCP server for batch-dispatching coding tasks to Google Jules in parallel, with YAML task definitions, plan approval, and optional LLM-based task planning. Integrates with Claude Code and OpenAI Codex CLI as a tool.

A YAML-driven workflow guidance MCP server that enables AI coding agents to follow structured development workflows with real-time state tracking and progression control.

MCP server for managing workflow topology graphs as pure YAML files, enabling AI agents to read, create, claim, and update task nodes with a strict state machine.

An execution state machine MCP server that manages YAML-defined plans, enabling step-by-step execution with state tracking and token optimization.

Enables orchestration of MCP tool calls through declarative YAML-defined directed graphs with data transformation, conditional routing, and observable execution flows.

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.

Exposes the full Telnyx API as Model Context Protocol tools and enables deploying autonomous AI voice agents from a YAML spec.

Enables AI agents to discover, understand, and execute complex multi-step workflows defined in YAML files through the Model Context Protocol.

Enables deterministic, step-by-step execution of YAML-defined skills and workflows for AI agents, with progressive disclosure of active-step instructions and tools. It manages workflow state, conditional DAG transitions, loops, and persistent sessions via start_workflow, next_step, and end_workflow.

MCP server for Modbus TCP devices that enables AI agents to read/write PLC registers by name using YAML device profiles, with a built-in simulator.

Orchestrates end-to-end testing of AI-powered incident remediation workflows through declarative YAML scenarios, fault injection, AI response evaluation, and automated command execution with comprehensive reporting.

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.

An MCP server that enables users to manage, search, and apply specialized AI personas within Claude Desktop and Claude Code CLI. It features a local-first architecture with YAML-based storage for organizing curated prompts and role collections.