MCP workflow orchestration tool with presets for thinking, coding and more
Clavue: execution-first AI coding CLI with direct repo tools, provider routing, native workflows, MCP integration, and long-session recovery
HaloPSA Workflows MCP Server
Terminal-first coding agent powered by DeepSeek. Multi-file edits, shell with approval gates, git workflows, MCP, subagents.
🏺 Anubis - Intelligent Guidance for AI Workflows | MCP-compliant workflow intelligence system with embedded, context-aware guidance for reliable AI-assisted development
Playwright Tools for MCP
Help agents automatically write and test stories for your UI components
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A high-level API to control headless Chrome over the DevTools Protocol
MCP Apps SDK — Enable MCP servers to display interactive user interfaces in conversational clients.
A high-level API to control headless Chrome over the DevTools Protocol
MCP server pro přístup k databázi 8,333 n8n workflow šablon přímo v Claude Desktop
Store, query, and create YAML workflow playbooks for LLM agents via MCP. STDIO or Streamable HTTP.
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Supercharged End 2 End Testing Framework for NodeJS
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NestJS module for creating Model Context Protocol (MCP) servers
A mongodb atlas api client for nodejs.
Playwright CLI
FreeRide — Project knowledge for AI agent workflows. MCP server that gives AI coding agents persistent memory across sessions.
MCP workflow orchestration tool with presets for thinking, coding and more
A Model Context Protocol (MCP) implementation for workflow management and automation.
An AI-powered task management system with discovery workflows, MCP integration, and intelligent project planning.
Command-Line Interface for Firebase
Rails Engine that captures exceptions, stores them in your database with rich context, and exposes error data via a bundled MCP server so AI agents can triage, resolve, and fix errors autonomously.
A Ruby MCP server that wraps Linear's GraphQL API and returns TOON-formatted responses for ~40-60% token savings in LLM workflows.
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
Kernai is an AI agent kernel based on a universal XML block protocol, enabling simple, dynamic, observable and fully controlled orchestration without external runtime dependencies. Ships with reference provider adapters for Anthropic, OpenAI and Ollama, native multimodal support, a workflow DAG scheduler, pluggable recorder sinks and an optional MCP (Model Context Protocol) bridge.
RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; and a memory system with Redis backend and semantic caching. Optional gems add Rails integration (robot_lab-rails), durable learning (robot_lab-durable), Ractor concurrency (robot_lab-ractor), and document storage (robot_lab-document_store).
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