"Information about n8n workflow automation tool" matching MCP connectors:

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

One-to-three-cent spend routing, lead research, token-risk, and agent-tool comparison preflights.

Turns vague automation requests into tool stacks, prompts, QA checks, and human boundaries.

Agentic rails for complex workflows with receipts, fees, and MCP tool access.

DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.

The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.

The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.

AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.

Official Nas.com MCP Server for AI agents. Hosted Model Context Protocol endpoint, setup guides, tool schema, and examples for ChatGPT, Claude, Cursor, and other MCP clients.

Secure every MCP server with one governed gateway. Give each AI agent its own scoped MCP access, contain credentials at the gateway, and audit every MCP tool call without wiring agents directly to each server.

Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).

Neonia MCP Gateway (neonia.io) - The ultimate platform for Autonomous AI Agents. Features include Autonomous Tool Discovery (dynamically finds and executes missing capabilities), Stateful Cloud Memory (remembers cross-session context), Context Packing (saves LLM tokens), and 20+ specialized dev tools. Get your API Key and configure settings at https://neonia.io.

Provides cloud browser automation capabilities using Stagehand and Browserbase, enabling LLMs to i…

Connect AI agents to 1000+ apps with managed authentication and tool-calling.

Stealth web automation for AI agents. Login, signup, navigate, screenshot.

MCP server for progressive tool usage at any scale (see https://klavis.ai)

Cloudflare Workers MCP server: agent-workflow-engine

Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: 1. Organize your projects as memory buckets 2. Save important chats directly from within chat agents 3. Give all your agents (OpenClaw, Claude Code, Lovable, and more) a shared persistent memory 4. Share your buckets with other people Docs: docs.plurality.network/the-plurality-mcp-server Github: github.com/Web3-Plurality/plurality-mcp-server

Visual workflow memory: search, read, and freeze MindFlows workflows from any agent.