"A server for finding information about n8n workflow automation" matching MCP servers:

N8N MCP

A standalone runtime and MCP server that executes Claude Code dynamic workflow files through interchangeable agent providers, ensuring compatibility with Claude Code's workflow format.

Enables deterministic, resumable workflow automation through DAG step graphs, boolean gate branching, automatic parallel execution, and in-step agent loops with sandboxed file and command tools.

Enables users to submit goals via MCP so a host agent can generate scripts, coordinate subagents, monitor execution stages, recover interrupted runs, and deliver reusable artifacts.

Enables bounded, multi-phase coding workflows inside Codex that plan, implement, independently review, repair, and verify repository changes, with an inline dashboard for inspecting runs.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

A stateful MCP workflow engine that enforces strict step ordering for AI agents, persisting run state so interrupted workflows can be resumed from a checkpoint. It also supports parallel step groups, bounded retries, agent-chosen jumps between steps, rewinding, and a live browser dashboard across any MCP client.

Enables multi-agent code review and iterative improvement loop using different LLM backends, with deterministic scoring and audit trail.

Enables MCP clients such as Claude Desktop, Claude Code, and Cursor to discover node types, author and validate typed multi-agent workflow files, launch runs against a workspace, and retrieve run status, node outputs, and workspace change details.

Enables MCP-capable AI agents to work on bounded project folders through read, write, run, and verify tools, with durable approval/resume workflows and completion proven by observed verification evidence rather than self-reported results.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

An MCP server that turns deployed n8n workflows into callable tools for AI agents, enabling discovery and execution of tagged workflows via a standard interface without rewriting integrations.

Enables opencode clients to delegate a software-engineering task to a brigade of parallel subagents that split a DAG, implement in isolated shadow copies, machine-verify artifacts, pass review gates, and summarize results. It exposes asynchronous run, status, list, stop, and template tools for large refactors, batch fixes, and multi-option comparisons.

Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.

Enables agentic coding clients to enforce portable policy guardrails by evaluating proposed shell, file write, git, and network actions and returning allow, deny, or ask decisions.

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

Guides agents through structured workflows with predefined steps, allowing for flexible execution via instructions and tool calls.

Delegates autonomous coding tasks to Z.ai's GLM models with a genuine agent loop, file operations, and verification via git and real process results.

Enables the automatic generation of complete Live2D models from a single photo by automating segmentation, rigging, and physics configuration. It provides a full pipeline for creating layered art meshes and motion files through a suite of specialized animation tools.

Enables AI agents to create, share, discover, and execute reusable multi-step workflow templates.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables agents to classify and prioritize tickets, emails, and logs, apply auditable business rules, and trigger actions safely with dry-run and live-mode safeguards.

Connects Claude to PagerDuty Workflow Automation (formerly Catalytic), enabling discovery of workflows, triggering runs with inputs, and monitoring or aborting running instances.

Enables multi-agent orchestration through a LangGraph supervisor and CrewAI-shaped crew, with in-process MCP tools and short- and long-term memory for research, tool use, and brief generation.

A production-grade multi-agent workflow orchestrator built on the Model Context Protocol, featuring planner/executor/critic agents, durable run state, and replayable traces.

Enables MCP clients to manage SQLite-backed TODOs and schedule durable coding-agent jobs over stdio, with persistent job memory, run history, and a read-only dashboard.

A complete Model Context Protocol server that enables Claude to create, manage, and execute n8n workflows through conversational AI.

Enables ChatGPT to inspect Jobber data and manage controlled automations with scheduling, approval workflows, and audit trails.

Enables conversational agents and LLM clients to drive durable, multi-step business workflows over Streamable HTTP MCP with a strict four-state machine, atomic idempotency and replay, physical asset locking, and transactional notifications. Supports pluggable local SQLite or AWS DynamoDB/Step Functions backends while keeping workflow state authoritative across retries and network failures.

Enables MCP clients to run complete browser workflows through a single run_workflow tool, with anti-detection backends, intelligent element location, automatic retries, and session persistence.