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"An automation tool for workflows and integrations (n8n software)" matching MCP servers:

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    Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.
    4
    55
    MIT
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    quality
    B
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    An MCP server providing AI assistants with comprehensive access to n8n node documentation, properties, and operations, enabling deep knowledge about n8n's 2,063 workflow automation nodes.
    7
    126,683
    MIT
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    A Model Context Protocol server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations for effective workflow automation.
    28
    126,683
    22,825
    MIT
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    A comprehensive MCP server that provides full control over n8n automation workflows through natural language. It offers 43 tools for managing workflows, executions, credentials, and data tables, with safety features like write-mode protection and double-validated workflow creation.
    43
    1
    MIT
  • F
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    MCP server providing access to n8n documentation and workflow templates, enabling LLM agents to search, read, and retrieve workflow examples for automated workflow creation.
    6
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    A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations, enabling them to understand and work with n8n's 2,175 workflow automation nodes.
    7
    126,683
    MIT
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    quality
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    Manages workflows, executions, and folders on a self-hosted n8n instance through its public REST API, enabling MCP clients to create, update, activate, list, and trigger workflows via natural language.
    12
    1
    MIT
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    Enables management of n8n workflows, executions, credentials, tags, and variables via MCP tools. Supports stdio, Claude Code, and Claude Web with optional Authentik OAuth.
    22
    MIT
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    An MCP server for auditing automation health, finding failures, stale logs, and non-functional endpoints that report success while quietly failing.
    7
    MIT
  • F
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    Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.
    2
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  • F
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    Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.
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