"YAML" matching MCP servers:

A lightweight, powerful, and flexible workflow engine that executes tasks defined in YAML configuration files.

A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.

Enables sending messages to Mattermost channels through webhooks via MCP protocol. Supports multiple webhook channels with simple YAML configuration and integrates seamlessly with Claude Desktop.

Enables generating BPMN 2.0 process models from natural language descriptions, YAML, or images via OCR, with templates, validation, and compatibility with tools like Bizagi Modeler and Camunda Modeler.

Enables natural language meeting scheduling by searching IMAP emails for meeting requests, finding available calendar slots from YAML configuration, and creating email drafts with proper threading to maintain personal conversation context.

AI-powered translation management built for AI agents. Automate localization with regional sensitivity and zero TMS overhead. Works with Claude Code, Cursor, VS Code via MCP protocol. Supports JSON, YAML, Markdown, PO and more.

An MCP server that provides tools for JSON validation, diffing, and transformation operations such as flattening and renaming. It also enables data format conversion between JSON, CSV, and YAML to streamline data processing for AI agents.

Enables AI assistants to automate iOS Simulator interactions including device management, UI element interaction (tap, swipe, type), screenshot capture, and execution of YAML-defined navigation workflows.

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.

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

Dynamically exposes CLI/bash commands as MCP tools and creates structured AI prompt templates through simple YAML configuration files, enabling users to transform any command-line tool into an MCP-compatible interface without writing code.

Enables natural language todo list management through Claude Desktop with YAML-based persistence. Supports creating, completing, deleting, and listing todo items with automatic timestamp tracking and secure file permissions.

Ozon Seller API in your AI assistant: products, FBS and FBO orders, prices, stocks, finance and reviews. 441 methods live in a YAML catalog the server executes, the agent searches it in plain language and calls a method through three generic tools, and every method carries an access class so writes and irreversible calls ask for confirmation.

An MCP server that registers customizable prompt templates as tools for natural language interaction. It supports hot-reloading and easy extension via YAML or JSON files to automate tasks like code review, refactoring, and content summarization.

A production-ready MCP server template that enables developers to quickly build and deploy MCP servers with dynamic tool/resource loading, YAML-based prompts, and seamless OpenShift deployment. Supports both local development with hot-reload and production HTTP deployment with optional JWT authentication.

An MCP server for browser automation that allows AI to perform web tasks using Playwright through direct commands, reusable YAML shortcuts, or custom scripts. It features secure environment variable management and guided automation creation to build robust, repeatable browser workflows.

Enables an agent to pull a public or unlisted YouTube playlist with no credentials, infer language, genre and mood tags per track, slice the results into mood-based playlists using declarative YAML rules, and export them as spreadsheets, M3U files or an HTML build console. It also covers publishing, either through quota-aware resumable API jobs or free browser import links, with write operations requiring explicit confirmation and defaulting to dry runs.

Enables partners to expose Salla Admin API operations to LLMs by adding YAML/Markdown task contracts with no code, served by one generic engine that offers search, describe, call, sandboxed Python Code Mode execution, and a single human-approval gate for staged writes. It lets an agent read store data freely while combining multiple changes into one approved plan that creates and updates categories and other store resources.