{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-n8n-io-n8n","slug":"mcp-n8n-io-n8n","name":"n8n","type":"workflow","url":"https://github.com/n8n-io/n8n","page_url":"https://unfragile.ai/mcp-n8n-io-n8n","categories":["automation"],"tags":["ai","apis","automation","cli","data-flow","development","integration-framework","integrations","ipaas","low-code","low-code-platform","mcp","mcp-client","mcp-server","n8n","no-code","self-hosted","typescript","workflow","workflow-automation"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-n8n-io-n8n__cap_0","uri":"capability://automation.workflow.visual.workflow.composition.with.node.based.dag.editor","name":"visual workflow composition with node-based dag editor","description":"Provides a drag-and-drop canvas interface for building directed acyclic graphs (DAGs) of interconnected nodes representing integrations and data transformations. The frontend uses Vue.js state management to track node positions, connections, and parameter configurations in real-time, with expression evaluation for dynamic values. Users can visually wire outputs from one node to inputs of another, with the system automatically managing data flow and type inference across the graph.","intents":["Build multi-step automation workflows without writing code","Visually debug data flow between integration steps","Quickly prototype integrations by connecting pre-built nodes","Share workflow logic with non-technical team members"],"best_for":["Non-technical business users building simple to moderate workflows","Teams wanting visual audit trails of automation logic","Organizations standardizing workflow patterns across departments"],"limitations":["Complex conditional logic becomes unwieldy in visual form — requires custom code nodes for intricate branching","Large workflows (50+ nodes) can become difficult to navigate and maintain visually","No built-in version control for visual workflows — requires external Git integration"],"requires":["Modern browser with ES6+ support","n8n instance running (self-hosted or cloud)","Basic understanding of data flow concepts"],"input_types":["node configuration parameters","expression strings for dynamic values","JSON data from previous nodes"],"output_types":["workflow definition (JSON DAG structure)","visual canvas state","execution logs with node-level tracing"],"categories":["automation-workflow","ui-builder"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_1","uri":"capability://code.generation.editing.expression.based.dynamic.value.binding.with.javascript.runtime","name":"expression-based dynamic value binding with javascript runtime","description":"Implements a sandboxed JavaScript expression evaluator (via @n8n/expression-runtime package) that allows users to write inline expressions in node parameters using a custom syntax with access to workflow context, previous node outputs, and utility functions. Expressions are parsed, validated, and executed within an isolated runtime that prevents arbitrary code execution while providing access to $node, $json, $env, and other context variables. This enables dynamic parameter values without requiring separate code nodes.","intents":["Dynamically compute node parameters based on previous step outputs","Transform data inline without creating separate transformation nodes","Access environment variables and secrets in workflow logic","Conditionally set values based on workflow state"],"best_for":["Developers building data transformation workflows","Teams needing dynamic parameter binding without custom code nodes","Users familiar with JavaScript syntax wanting inline logic"],"limitations":["Sandboxed runtime prevents access to Node.js modules — only built-in functions available","Expression evaluation adds ~5-15ms latency per parameter evaluation","No IDE-style autocomplete in expression editor — requires knowledge of available context variables","Complex nested expressions become difficult to debug without proper error messages"],"requires":["JavaScript knowledge (ES6+ syntax)","Understanding of n8n context variables ($node, $json, $env)","n8n 0.100.0 or later"],"input_types":["expression strings with n8n syntax","workflow context (previous node outputs, environment variables)","JSON data structures"],"output_types":["evaluated JavaScript values (strings, numbers, objects, arrays)","error messages for invalid expressions","type-coerced results matching parameter expectations"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_10","uri":"capability://data.processing.analysis.execution.history.and.audit.logging.with.searchable.records","name":"execution history and audit logging with searchable records","description":"Maintains a persistent execution history database storing details of every workflow execution including start/end times, status, node-level logs, input/output data, and error messages. Executions are indexed and searchable by workflow ID, status, date range, and error type. The system provides APIs and UI views for inspecting execution history, filtering by criteria, and exporting logs for compliance or debugging. Supports configurable retention policies to manage database size.","intents":["Debug failed workflow executions by inspecting logs and data","Track workflow performance and identify bottlenecks","Maintain audit trails for compliance and governance","Investigate data issues by reviewing historical execution data"],"best_for":["Teams needing audit trails for compliance (SOC2, HIPAA, etc.)","Organizations debugging production issues","Users monitoring workflow performance and reliability"],"limitations":["Execution history database can grow very large (100GB+ for high-volume workflows) — requires regular cleanup","Searching large execution histories is slow without proper indexing","Sensitive data in execution logs requires encryption or masking","Retention policies may conflict with compliance requirements"],"requires":["Database backend (PostgreSQL, MySQL, SQLite, etc.)","Sufficient disk space for execution history","n8n 0.100.0 or later"],"input_types":["workflow execution events","node-level logs","input/output data from each node"],"output_types":["execution records with full details","searchable execution history","exportable logs (JSON, CSV)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_11","uri":"capability://safety.moderation.project.based.access.control.and.workflow.sharing","name":"project-based access control and workflow sharing","description":"Implements a project-based authorization model where workflows are organized into projects with granular permission controls (view, edit, execute, admin). Users can be assigned roles at the project level, and workflows inherit permissions from their parent project. The system supports team collaboration with shared projects, audit logging of permission changes, and optional SSO integration for enterprise deployments. Credentials are scoped to projects and can be shared across workflows within the same project.","intents":["Share workflows with team members with granular permissions","Organize workflows into logical projects for different departments","Control who can edit, execute, or view sensitive workflows","Audit access and permission changes for compliance"],"best_for":["Teams collaborating on workflows","Organizations with strict access control requirements","Enterprise deployments needing SSO and audit trails"],"limitations":["Project-based permissions don't support fine-grained node-level access control","No built-in data masking — users with view access can see all workflow data","Permission changes don't retroactively affect running executions","SSO integration requires additional configuration and identity provider setup"],"requires":["n8n 1.0+ with project support","User authentication (local or SSO)","Optional: SAML/OIDC provider for SSO"],"input_types":["project definitions","user/role assignments","permission specifications"],"output_types":["access control decisions (allow/deny)","audit logs of permission changes","user role assignments"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_12","uri":"capability://automation.workflow.error.handling.and.retry.logic.with.exponential.backoff","name":"error handling and retry logic with exponential backoff","description":"Provides error handling mechanisms including try-catch nodes, error output branches, and configurable retry policies with exponential backoff. When a node fails, the workflow can route to an error handler node, retry the failed node with increasing delays, or halt execution. Retry policies are configurable per node with parameters for max attempts, initial delay, backoff multiplier, and maximum delay. Failed executions are logged with error details and can trigger notifications or escalations.","intents":["Handle transient failures (network timeouts, rate limits) with automatic retries","Route failed workflows to error handlers for logging or notifications","Implement resilient workflows that recover from temporary issues","Escalate critical failures to appropriate teams"],"best_for":["Teams building production workflows requiring high reliability","Organizations integrating with unreliable external APIs","Users needing to handle transient failures gracefully"],"limitations":["Retry logic only handles transient failures — permanent errors still require manual intervention","Exponential backoff can cause long delays for workflows with many retries","No built-in circuit breaker pattern — workflows may continue retrying even if service is down","Error handlers add complexity to workflow logic — difficult to maintain for complex scenarios"],"requires":["Error handling nodes configured in workflow","Retry policy parameters (max attempts, delays, etc.)","n8n 0.100.0 or later"],"input_types":["node failure events","error messages and stack traces","retry policy configuration"],"output_types":["retry execution with backoff delays","error handler execution","error notifications or escalations"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_13","uri":"capability://memory.knowledge.data.store.and.key.value.persistence.across.workflow.executions","name":"data store and key-value persistence across workflow executions","description":"Provides a Data Store node that allows workflows to persist and retrieve key-value data across multiple executions. Data is stored in the n8n database and can be accessed by any workflow with appropriate permissions. Supports operations like set, get, delete, and list with optional TTL (time-to-live) for automatic expiration. The data store enables workflows to maintain state between executions, implement counters, or cache frequently accessed data.","intents":["Maintain state across multiple workflow executions","Implement counters or accumulators for aggregated data","Cache frequently accessed data to reduce API calls","Share data between different workflows"],"best_for":["Teams building stateful workflows","Organizations needing to track state across executions","Users wanting to reduce API calls through caching"],"limitations":["Data store is not suitable for high-frequency updates — database writes can become a bottleneck","No built-in transactions — concurrent updates may cause race conditions","TTL implementation is approximate — expired data may not be immediately deleted","Data store is not distributed — not suitable for multi-instance deployments without shared database"],"requires":["Database backend (PostgreSQL, MySQL, SQLite, etc.)","n8n 0.150.0 or later"],"input_types":["key-value pairs","optional TTL values","query filters for list operations"],"output_types":["stored values","list of keys matching filters","success/failure status"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_14","uri":"capability://automation.workflow.workflow.versioning.and.source.control.integration","name":"workflow versioning and source control integration","description":"Supports workflow versioning where each workflow modification creates a new version with automatic or manual snapshots. Workflows can be exported to JSON and imported from version control systems (Git), enabling CI/CD integration. The system tracks version history with timestamps and user information, allowing rollback to previous versions. Integration with Git repositories enables collaborative development with branch-based workflows and pull request reviews.","intents":["Track changes to workflows over time","Rollback to previous workflow versions if needed","Collaborate on workflows using Git-based workflows","Integrate workflow changes into CI/CD pipelines"],"best_for":["Teams collaborating on workflows","Organizations requiring change tracking for compliance","Users wanting to use Git for workflow management"],"limitations":["Version history can consume significant database space for frequently-modified workflows","Git integration requires manual setup and configuration","Merge conflicts in workflow JSON require manual resolution","No built-in conflict resolution for concurrent edits"],"requires":["n8n 1.0+ with versioning support","Optional: Git repository for source control integration","Optional: CI/CD system for automated deployment"],"input_types":["workflow definitions (JSON)","version metadata (timestamp, user, description)"],"output_types":["version history with snapshots","diff between versions","rollback capability"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_15","uri":"capability://safety.moderation.multi.tenancy.with.isolated.execution.and.credential.scoping","name":"multi-tenancy with isolated execution and credential scoping","description":"Implements multi-tenancy where each organization/workspace has isolated workflows, credentials, and execution history. Credentials are encrypted and scoped to specific tenants, preventing cross-tenant access. Execution isolation ensures that workflows from different tenants don't interfere with each other, with separate execution queues and resource limits per tenant. The system supports tenant-level configuration including custom branding, feature flags, and API rate limits.","intents":["Build SaaS products on top of n8n with isolated customer workflows","Manage multiple organizations with separate workflows and credentials","Prevent data leakage between different business units","Implement per-tenant resource quotas and rate limiting"],"best_for":["SaaS providers building workflow automation platforms","Enterprises managing multiple business units","Organizations requiring strict data isolation"],"limitations":["Multi-tenancy adds operational complexity — requires careful database design and access control","Shared infrastructure means one tenant's heavy workload can impact others — requires resource isolation","Debugging multi-tenant issues is difficult — requires tenant-specific logs and monitoring","Credential isolation requires careful encryption and key management"],"requires":["n8n Enterprise or self-hosted with multi-tenancy support","Database backend with row-level security or separate schemas per tenant","Encryption at rest for credentials"],"input_types":["tenant identifiers","tenant-specific workflows and credentials","per-tenant configuration"],"output_types":["isolated execution results","tenant-specific audit logs","per-tenant resource usage metrics"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_2","uri":"capability://tool.use.integration.400.pre.built.node.integrations.with.credential.management","name":"400+ pre-built node integrations with credential management","description":"Maintains a registry of 400+ integration nodes (HTTP, Slack, Salesforce, Stripe, etc.) defined in the @n8n/nodes-base package, each with a standardized node interface that includes input/output definitions, parameter schemas, and credential bindings. The credential system uses encrypted storage with support for OAuth2, API keys, and custom authentication schemes. Nodes are dynamically loaded at runtime and registered in a NodeTypeManager, allowing users to select integrations from a searchable catalog and configure them with stored or new credentials.","intents":["Connect to external SaaS platforms without writing API code","Securely store and reuse API credentials across workflows","Quickly add new integrations to workflows from a pre-built catalog","Manage OAuth2 authentication flows without manual token handling"],"best_for":["Teams integrating with multiple SaaS platforms","Organizations needing centralized credential management","Users without API integration expertise wanting quick setup"],"limitations":["Pre-built nodes may not expose all API capabilities — requires custom HTTP node for advanced use cases","Credential updates require workflow re-execution to take effect","OAuth2 flows require callback URL configuration — not suitable for air-gapped environments","Node updates are tied to n8n releases — no independent node versioning"],"requires":["API credentials for target service (API key, OAuth2 client ID/secret, etc.)","Network access to external service endpoints","n8n instance with internet connectivity for OAuth2 flows"],"input_types":["node selection from catalog","credential configuration (API keys, OAuth tokens)","node-specific parameters (email addresses, resource IDs, etc.)"],"output_types":["API responses from integrated services","structured data matching service schema","error responses with service-specific error codes"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_3","uri":"capability://automation.workflow.distributed.workflow.execution.with.task.runners.and.scaling","name":"distributed workflow execution with task runners and scaling","description":"Implements a distributed execution model where the main n8n process can delegate workflow execution to separate task-runner processes via a message queue (Redis or Bull). The WorkflowExecutor in @n8n/core orchestrates execution across multiple runners, managing job queuing, result aggregation, and failure recovery. Supports both single-process execution (for development) and distributed execution (for production), with automatic load balancing and horizontal scaling by adding more task-runner instances.","intents":["Scale workflow execution across multiple machines for high throughput","Isolate workflow execution from the main API process to prevent crashes","Run long-running workflows without blocking other operations","Distribute CPU-intensive tasks across available resources"],"best_for":["Teams running high-volume workflow automation (100+ executions/minute)","Organizations requiring fault isolation between workflows","Production deployments needing horizontal scaling"],"limitations":["Distributed execution adds ~200-500ms overhead per job due to serialization and queue latency","Requires Redis or Bull queue infrastructure — adds operational complexity","Cross-process communication limits ability to share in-memory state between workflows","Task runner failures require manual recovery or external orchestration (Kubernetes, etc.)"],"requires":["Redis 5.0+ or Bull queue backend","Multiple n8n instances (main + task runners)","Network connectivity between main process and task runners","Shared database for workflow definitions and execution history"],"input_types":["workflow definition (JSON DAG)","execution context (variables, credentials)","trigger data (webhook payload, schedule, etc.)"],"output_types":["execution results (success/failure status)","node-level execution logs","performance metrics (duration, memory usage)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_4","uri":"capability://planning.reasoning.ai.powered.workflow.generation.from.natural.language","name":"ai-powered workflow generation from natural language","description":"Integrates LangChain nodes and an AI Workflow Builder that accepts natural language descriptions and generates n8n workflow definitions using LLM prompting. The system parses user intent, maps it to available nodes and integrations, and constructs a valid DAG structure with parameter bindings. Supports iterative refinement where users can ask the AI to modify generated workflows, with the system maintaining context across conversation turns.","intents":["Generate complete workflows from natural language descriptions","Quickly prototype automation ideas without manual node configuration","Get AI suggestions for workflow optimization and missing steps","Learn n8n by seeing AI-generated workflow examples"],"best_for":["Non-technical users wanting to build workflows without learning n8n syntax","Teams prototyping automation ideas quickly","Users exploring what's possible with available integrations"],"limitations":["Generated workflows often require manual refinement — AI may miss edge cases or use suboptimal node choices","Requires API access to LLM (OpenAI, Anthropic, etc.) — adds per-workflow cost","AI generation can be slow (5-30 seconds) — not suitable for real-time use cases","Limited to workflows within LLM's training knowledge — may not generate workflows for new integrations"],"requires":["LLM API key (OpenAI GPT-4, Anthropic Claude, etc.)","Internet connectivity to LLM provider","n8n 1.0+ with AI features enabled"],"input_types":["natural language workflow description","conversation history for iterative refinement","available node catalog for context"],"output_types":["n8n workflow definition (JSON DAG)","explanation of generated workflow steps","suggested modifications or optimizations"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_5","uri":"capability://planning.reasoning.instance.ai.autonomous.agent.execution.within.workflows","name":"instance ai — autonomous agent execution within workflows","description":"Provides an Instance AI node that runs an autonomous LLM agent within a workflow, allowing the agent to use available n8n nodes as tools to accomplish goals. The agent receives a task description, iteratively selects and executes nodes based on their descriptions and outputs, and continues until the goal is achieved or a maximum iteration limit is reached. The system maintains agent state across iterations and provides execution logs showing the agent's reasoning and tool selections.","intents":["Delegate complex multi-step tasks to an autonomous AI agent","Build self-healing workflows that adapt to changing conditions","Create workflows that make decisions based on real-time data","Reduce manual workflow maintenance by letting AI handle edge cases"],"best_for":["Teams building intelligent automation that adapts to variable inputs","Organizations wanting to reduce manual intervention in workflows","Advanced users comfortable with AI-driven decision making"],"limitations":["Agent execution is non-deterministic — same input may produce different results across runs","Requires LLM API calls for each iteration — adds significant cost and latency (5-60 seconds per task)","Agent may enter infinite loops or make suboptimal tool choices — requires careful prompt engineering","Difficult to debug agent behavior — requires detailed execution logs and manual analysis"],"requires":["LLM API key with function-calling support (OpenAI, Anthropic, etc.)","Clear task description for the agent","Available n8n nodes that the agent can use as tools","n8n 1.0+ with Instance AI feature enabled"],"input_types":["task description (natural language)","available tools (n8n nodes with descriptions)","initial context data"],"output_types":["task completion status (success/failure)","agent reasoning logs","final result from agent's tool selections","execution metrics (iterations, cost, duration)"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_6","uri":"capability://automation.workflow.webhook.triggered.workflow.execution.with.payload.validation","name":"webhook-triggered workflow execution with payload validation","description":"Provides a Webhook node that exposes HTTP endpoints for triggering workflow execution. Each webhook generates a unique URL that accepts POST/GET requests with arbitrary JSON payloads. The system validates incoming payloads against optional JSON schema definitions, filters requests based on headers or body conditions, and queues workflow executions with the payload as initial context. Supports both synchronous (wait for result) and asynchronous (fire-and-forget) execution modes.","intents":["Trigger workflows from external systems via HTTP requests","Validate incoming data before workflow execution","Build event-driven automation responding to external events","Integrate n8n with custom applications or third-party services"],"best_for":["Teams integrating n8n with custom applications","Organizations building event-driven architectures","Users needing to trigger workflows from external systems"],"limitations":["Webhook URLs are publicly accessible — requires authentication to prevent abuse","Synchronous mode has timeout limits (typically 30-60 seconds) — long-running workflows must use async mode","No built-in rate limiting — requires external API gateway for throttling","Payload size limits (typically 10-100MB) — large payloads must be stored externally"],"requires":["n8n instance with public URL or tunneling (ngrok, etc.)","HTTP client to send webhook requests","Optional: JSON schema for payload validation"],"input_types":["HTTP POST/GET requests with JSON payload","optional headers for authentication","optional query parameters"],"output_types":["HTTP response (200 OK with execution ID, or workflow result)","execution logs","error responses with validation details"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_7","uri":"capability://automation.workflow.scheduled.workflow.execution.with.cron.expressions.and.timezone.support","name":"scheduled workflow execution with cron expressions and timezone support","description":"Implements a Trigger node that executes workflows on a schedule using cron expressions (e.g., '0 9 * * MON-FRI' for 9 AM weekdays). The scheduler runs in the main n8n process or delegates to task runners, supporting timezone-aware scheduling with automatic DST handling. Users can configure execution frequency, timezone, and optional payload data to pass to the workflow on each execution.","intents":["Run workflows on recurring schedules (daily, weekly, monthly, etc.)","Automate time-based tasks like data syncs or report generation","Execute workflows at specific times across different timezones","Implement SLA-based automation (e.g., escalate tickets after 24 hours)"],"best_for":["Teams automating recurring tasks","Organizations with global operations needing timezone-aware scheduling","Users building data pipeline workflows"],"limitations":["Cron expressions have minute-level granularity — sub-minute scheduling requires custom code","Scheduled executions may be delayed if n8n process is overloaded","No built-in backoff or retry logic for failed scheduled executions","Timezone changes (DST) may cause missed or duplicate executions if not handled carefully"],"requires":["Valid cron expression (standard Unix format)","Timezone identifier (e.g., 'America/New_York')","n8n instance running continuously"],"input_types":["cron expression string","timezone identifier","optional payload data"],"output_types":["workflow execution at scheduled times","execution logs with trigger timestamp","missed execution notifications"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_8","uri":"capability://code.generation.editing.custom.code.node.execution.with.node.js.runtime","name":"custom code node execution with node.js runtime","description":"Provides a Code node that allows users to write arbitrary Node.js JavaScript code that executes within the workflow. The code has access to the workflow context ($node, $json, $env), can import npm packages (if configured), and can perform complex data transformations or logic that's not available in pre-built nodes. Code is executed in a sandboxed V8 context with configurable timeout and memory limits to prevent resource exhaustion.","intents":["Implement custom business logic not available in pre-built nodes","Transform data in complex ways beyond expression capabilities","Write reusable code functions for multiple workflows","Debug workflows by inspecting intermediate data"],"best_for":["Developers comfortable with JavaScript/Node.js","Teams needing custom logic beyond pre-built integrations","Organizations with complex data transformation requirements"],"limitations":["Code execution is sandboxed — no access to file system or external processes","Limited npm package support — only whitelisted packages available","Code changes require workflow re-deployment — no hot-reload","Debugging is difficult — limited error messages and stack traces"],"requires":["JavaScript/Node.js knowledge","Understanding of n8n context variables","n8n 0.100.0 or later"],"input_types":["JavaScript code string","workflow context (previous node outputs)","environment variables"],"output_types":["code execution result (any JavaScript value)","error messages with line numbers","console.log output for debugging"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-n8n-io-n8n__cap_9","uri":"capability://planning.reasoning.conditional.branching.with.if.switch.nodes.and.expression.based.routing","name":"conditional branching with if/switch nodes and expression-based routing","description":"Implements conditional execution flow using IF and SWITCH nodes that evaluate expressions and route execution to different branches based on results. The IF node supports simple true/false conditions, while SWITCH node supports multiple conditions with fallback routing. Conditions are evaluated using the expression engine, allowing complex logic based on previous node outputs, variables, and environment data. Execution follows only the matching branch, skipping other branches.","intents":["Route workflow execution based on data conditions","Implement error handling with fallback paths","Build workflows that adapt behavior based on input data","Create approval workflows with multiple decision paths"],"best_for":["Teams building workflows with conditional logic","Organizations implementing approval or escalation workflows","Users needing to handle multiple scenarios in a single workflow"],"limitations":["Complex nested conditions become difficult to visualize and maintain","No built-in support for parallel branching — branches execute sequentially","Condition evaluation happens at runtime — no static analysis or optimization","Debugging conditional logic requires manual execution and log inspection"],"requires":["Valid expression syntax for conditions","Understanding of workflow data flow","n8n 0.100.0 or later"],"input_types":["expression strings for conditions","workflow context (previous node outputs)","comparison operators and logical operators"],"output_types":["execution routed to matching branch","skipped branches not executed","condition evaluation results in logs"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Modern browser with ES6+ support","n8n instance running (self-hosted or cloud)","Basic understanding of data flow concepts","JavaScript knowledge (ES6+ syntax)","Understanding of n8n context variables ($node, $json, $env)","n8n 0.100.0 or later","Database backend (PostgreSQL, MySQL, SQLite, etc.)","Sufficient disk space for execution history","n8n 1.0+ with project support","User authentication (local or SSO)"],"failure_modes":["Complex conditional logic becomes unwieldy in visual form — requires custom code nodes for intricate branching","Large workflows (50+ nodes) can become difficult to navigate and maintain visually","No built-in version control for visual workflows — requires external Git integration","Sandboxed runtime prevents access to Node.js modules — only built-in functions available","Expression evaluation adds ~5-15ms latency per parameter evaluation","No IDE-style autocomplete in expression editor — requires knowledge of available context variables","Complex nested expressions become difficult to debug without proper error messages","Execution history database can grow very large (100GB+ for high-volume workflows) — requires regular cleanup","Searching large execution histories is slow without proper indexing","Sensitive data in execution logs requires encryption or masking","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.4964846329358571,"quality":0.5,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.2,"quality":0.25,"ecosystem":0.1,"match_graph":0.4,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:31.491Z","last_commit":"2026-05-03T12:45:07Z"},"community":{"stars":186548,"forks":57306,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-n8n-io-n8n","compare_url":"https://unfragile.ai/compare?artifact=mcp-n8n-io-n8n"}},"signature":"hmTOu4dN4c6bU/Wbv7sM+1X/rGIuwj7spDMjjztG38JxaHCjT1fy6V5KLkxd0rjhxG/3bKYzLQQj2y6t+7ETDg==","signedAt":"2026-06-21T00:23:25.425Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-n8n-io-n8n","artifact":"https://unfragile.ai/mcp-n8n-io-n8n","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-n8n-io-n8n","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}