"YAML" matching MCP servers:

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

Exposes ReadyAgents' local workflow engine and built-in tools over MCP stdio, enabling MCP clients to define, run, inspect, and approve YAML/JSON agent workflows.

A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.

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.

Control-plane proxy that sits in front of MCP servers, enforcing per-identity policy (YAML/OPA/Cedar), budget limits, and an audit trail on every call. Includes real-time anomaly detection that auto-blocks a compromised agent without a human in the loop.

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.

Local-first memory for AI agents: one store shared by Claude Code, Codex CLI, Cursor, Pi, Hermes, OpenClaw, and any MCP client. Plain markdown with YAML frontmatter on your disk, hybrid BM25 + vector recall with per-result provenance (Recall X-ray), a correction contract, and the MemCorrect benchmark.

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

Run YAML workflows as MCP tools so agents can automate real tasks with one server.

Enables creating no-code agent workflows by combining multiple MCP servers into unified YAML-defined tools. Supports parameterized prompts and scripted steps, exposing a single MCP endpoint that orchestrates external servers like Chrome DevTools and shadcn.

Guardrail sidecar proxy between AI agents and their MCP/REST/CLI tools. Policy engine, human approval gates, time-limited grants, rate limiting, and OTEL tracing. One Go binary, one YAML config, fail-closed by default.

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

Turn a PowerLab homelab/enterprise host into a structured, agent-driven surface for catalog browsing, app management, system observability, and compose-yaml authoring.

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.

Turns any OpenAPI/Swagger spec (JSON, YAML, or URL) into a production-ready, type-safe FastMCP Python server with visual endpoint selection and 1-click Claude Desktop or Cursor IDE integration.

Enables AI agents to provision and manage external SaaS services (Clerk, Stripe, Resend, etc.) by authenticating and creating resources via YAML configuration.

Acts as a multi-tenant MCP gateway, letting multiple AI clients access tenant-specific tools and integrations through a single public endpoint, with configuration and secrets managed via YAML and environment variables.

* taniwhaai/arai 🦀 🏠 🍎 🪟 🐧 - Policy enforcement for AI coding agents derived from existing instruction files (CLAUDE.md, .cursorrules, .windsurfrules, .github/copilot-instructions.md) — no separate YAML to maintain. Rules with prohibitive predicates (never, forbids, must_not) emit permissionDecision: deny to block tool calls in Claude Code; advisor

A local, auditable multi-model workflow engine that lets you define YAML graphs for orchestrating LLM agents across vendors, with MCP tools for validation, dry-runs, execution, and human approval, all fully observable in a local web interface.

Deploys any public GitHub-hosted stdio MCP server to a remote Streamable HTTP endpoint, with public or bearer-protected access and plan-based usage quotas.