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n8n-automation-orchestrator-rpc

Facilitates remote execution and oversight of n8n workflows via a structured JSON-RPC endpoint, allowing for seamless integration of diverse automation routines. Leverages the n8n platform's comprehensive capabilities for connecting various systems and data streams.

Author

n8n-automation-orchestrator-rpc logo

S17S17

MIT License

Quick Info

GitHub GitHub Stars 2
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

workflowsworkflows17s17n8n workflowsn8n workflowmanage n8n

n8n-Automation-Orchestrator-RPC

An implementation of the Model-Controller-Provider (MCP) architecture specifically tailored for controlling n8n workflow automation engines. This service exposes a uniform interface, adhering to the JSON-RPC protocol, for initiating and managing workflow operations.

Core Capabilities

  • Adherence to JSON-RPC Specification Version 2.0
  • Comprehensive lifecycle management for automated workflows
  • Configuration management leveraging environment variables
  • Native support for TypeScript source code
  • Detailed operational logging mechanisms
  • Containerization readiness via Docker support

Prerequisites for Deployment

  • Runtime environment: Node.js version 14.0.0 or higher
  • Operational n8n installation accessible over the network
  • Valid API authentication token for the n8n instance

Setup Instructions

  1. Obtain the source code repository: bash git clone https://github.com/S17S17/n8n-mcp-server.git cd n8n-mcp-server

  2. Install necessary software dependencies: bash npm install

  3. Initialize configuration settings: bash cp .env.example .env

Customize settings within the newly created .env file

Configuration Parameters

Settings are managed exclusively through environmental variables. Consult .env.example for the complete list of configurable parameters.

Mandatory variables: - N8N_URL: The base Uniform Resource Locator for the n8n API endpoint - N8N_API_KEY: The secret credential required for API authorization - N8N_API_HEADER: The HTTP header name utilized to transmit the authentication token (default is "X-N8N-API-KEY")

Operational Guidance

Launching the Service

Multiple launch profiles are provided:

bash

Standard production launch

npm start

Development mode with automatic code reloading

npm run start:dev

Minimal configuration launch (reduced feature set)

npm run start:simple

Enhanced diagnostic output mode

npm run debug

Containerized Deployment

Building and executing via Docker:

bash docker build -t n8n-mcp-server . docker run -p 3000:3000 --env-file .env n8n-mcp-server

Alternatively, using Docker Compose:

bash docker-compose up

Interface Specification (API)

The service exposes a JSON-RPC 2.0 interface featuring the following remote procedures:

  • initialize: Establishes and verifies the connection parameters.
  • shutdown: Triggers a controlled, graceful termination of the service.
  • listTools: Retrieves metadata regarding available workflow routines.
  • callTool: Invokes a specified workflow routine for execution.

Refer to the dedicated [API.md] document for exhaustive endpoint specifications.

Development Workflow

Compiling Source Code

bash npm run build

Executing Verification Suites

bash npm test

Code Quality Enforcement

bash npm run lint

Collaboration Guidelines

  1. Create a personal fork of this repository.
  2. Establish a dedicated feature branch (e.g., git checkout -b feature/enhancement-xyz).
  3. Commit your modifications with descriptive messages (git commit -m 'Implement feature XYZ logic').
  4. Push the changes to your remote branch (git push origin feature/enhancement-xyz).
  5. Submit a formal Pull Request for review.

Licensing Information

This software is distributed under the terms outlined in the MIT License (see the [LICENSE] file).

Assistance

Should you require support, please report the issue by creating a new entry in the GitHub issue tracker.

WIKIPEDIA: In the context of IT infrastructure, cloud computing defines a model for delivering computing resources—such as processing power, storage, applications, and network capabilities—as an on-demand utility delivered over the internet, characterized by scalability and elasticity. This concept is frequently termed simply "the cloud."

== Defining Attributes == In 2011, the United States' National Institute of Standards and Technology (NIST) established five fundamental attributes that characterize robust cloud systems. The original NIST definitions are:

On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. By 2023, the International Organization for Standardization (ISO) had expanded and refined the list.

== Historical Context ==

The conceptual roots of cloud computing trace back to the 1960s, with the initial popularization of time-sharing concepts through remote job entry (RJE). During this era, the prevailing operational model involved users submitting tasks to specialized operators who executed them on centralized mainframe computers. This period was marked by intensive investigation into methods for broadening access to high-capacity computational resources using time-sharing, optimizing the underlying infrastructure, platform layers, and application efficiency for end-users. The specific graphic metaphor of the "cloud" to denote virtualized services emerged in 1994, employed by General Magic to represent the accessible universe for mobile agents within its Telescript framework. This visual analogy is generally attributed to David Hoffman, a communications specialist at General Magic, deriving from its established usage in telecommunications and networking diagrams. The term "cloud computing" gained broader industry traction in 1996 when Compaq Computer Corporation outlined a strategic business plan focusing on the future of computing and the Internet. The company's aspiration was to superch

See Also

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