Automatisch MCP Server
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage n8n automation workflows through natural language commands, including creating, executing, monitoring, and organizing workflows with full CRUD operations and execution management.90 npm2MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to manage n8n workflows and executions, including creating, updating, deleting, activating, deactivating, and executing workflows, as well as listing and retrieving execution details.61 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI models to manage n8n workflow automation through a standardized interface. Supports creating, reading, updating, and deleting workflows with comprehensive access to workflow nodes, connections, and configurations.4 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to programmatically control n8n via natural language for automated workflow creation, modification, and execution management.1-

HiveFlow MCP Serverofficial
AlicenseBqualityDmaintenanceConnects AI assistants (Claude, Cursor, etc.) directly to the HiveFlow automation platform, allowing them to create, manage, and execute automation flows through natural language commands.96 npm4MIT- FlicenseBqualityBmaintenanceEnables AI assistants to fully automate n8n instances via 34 MCP tools, covering workflow creation, execution debugging, credential management, environment variables, tags, and user administration through natural language.341-
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose targeting specific resources and actions: connections, workflows, executions, and apps. There is no overlap or ambiguity, with tools like create_workflow, update_workflow, and delete_workflow covering different lifecycle stages without confusion.
All tools follow a consistent verb_noun pattern with snake_case throughout, such as create_connection, list_workflows, and update_workflow. The naming is predictable and uniform, making it easy for agents to understand and select tools.
With 10 tools, the count is well-scoped for managing workflows, connections, and executions in an automation platform. Each tool serves a clear purpose, such as CRUD operations for workflows and monitoring executions, without being excessive or insufficient.
The toolset provides strong coverage for core workflow management, including create, read, update, delete, list, and test operations, along with connection handling and execution monitoring. A minor gap exists in lacking tools for updating or deleting connections, but agents can still perform essential tasks effectively.