leonardsellem_n8n-mcp-server

leonardsellem_n8n-mcp-server

3.2
os_automation

If you are the rightful owner of leonardsellem_n8n-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server that allows AI assistants to interact with n8n workflows through natural language.

The n8n MCP Server is a Model Context Protocol server designed to facilitate interaction between AI assistants and n8n workflows. It provides a comprehensive suite of tools and resources that enable AI assistants to manage workflows and executions effectively. The server allows for listing, creating, updating, and deleting workflows, as well as activating, deactivating, and executing them. Additionally, it offers capabilities to monitor workflow status and access detailed execution statistics. This server is particularly useful for automating and streamlining workflow management tasks through natural language commands.

Features

  • Workflow Management: List, create, update, delete, activate, and deactivate workflows.
  • Execution Management: Execute workflows, monitor their status, and access execution details.
  • Integration: Seamlessly integrates with AI assistants to enhance workflow automation.
  • Configuration: Easy setup with environment variables for API access and debugging.
  • Development Tools: Includes building, testing, and linting scripts for developers.

Tools

  1. workflow_list

    List all workflows

  2. workflow_get

    Get details of a specific workflow

  3. workflow_create

    Create a new workflow

  4. workflow_update

    Update an existing workflow

  5. workflow_delete

    Delete a workflow

  6. workflow_activate

    Activate a workflow

  7. workflow_deactivate

    Deactivate a workflow

  8. execution_run

    Execute a workflow

  9. execution_get

    Get details of a specific execution

  10. execution_list

    List executions for a workflow

  11. execution_stop

    Stop a running execution

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