n8n nodes are the atomic building blocks of every workflow—each node
represents a specific service, operation, or function. The platform ships
with 400+ native integration nodes spanning CRMs, databases,
messaging tools, AI models, and developer utilities; plus core nodes for
data transformation, flow control, and credential management. Built on a
hierarchical system of trigger nodes (initiating workflows),
action nodes (performing tasks), core nodes
(handling logic and data), and cluster nodes (enabling
multi-node AI patterns), the node architecture delivers composable, reusable
automation through a consistent INodeType interface contract across all node
categories.
[1]

What types of n8n nodes exist and how are they categorized?

n8n organizes nodes into four architectural categories: trigger
nodes that initiate workflow execution and supply initial data,
action nodes that connect to external services and perform
tasks, core nodes that provide generic data transformation
and flow control without external dependencies, and cluster
nodes that implement interconnected sub‑node composition patterns
primarily for AI workflows.
[1]

For a complete taxonomy of trigger mechanisms, action nodes, polling
triggers, sub‑nodes, and AI‑specific node patterns, see the
types of n8n nodes guide.

What integration nodes does n8n provide for apps, APIs, and databases?

n8n’s integration nodes connect to 400+ external services spanning
CRM systems (HubSpot, Salesforce, Zoho), messaging
platforms (Slack, Microsoft Teams, WhatsApp), database
engines (PostgreSQL, MySQL, MongoDB, Supabase), cloud
storage (Google Drive, Dropbox, S3), and developer
tools (GitHub, GitLab, Jira). A universal HTTP Request node bridges
any REST or GraphQL API lacking a native connector.
[5]

The full catalog organized by service category—CRM nodes, database nodes,
messaging nodes, cloud storage nodes, and developer tool nodes—is available
in the
n8n integration nodes catalog.

How do n8n nodes handle authentication, credentials, and webhook verification?

n8n’s credential system supports OAuth2 (with automatic
token refresh via the @n8n/client-oauth2 package), Basic Auth,
Header Auth, Query Auth, and API
Keys. The credential framework encrypts all sensitive values at rest
with AES‑256‑CBC and redacts them when displayed or logged. Webhook nodes
support HMAC‑SHA256 signature validation and IP allowlisting.
[6]

For the complete security model covering OAuth2 flows, credential encryption,
environment‑variable‑based secret storage, vault integration, and webhook
authentication hardening, explore the
n8n node security guide.

How do you configure node parameters, expressions, and data mapping in n8n?

Each node exposes a properties array that defines its
parameters in the UI—text fields, dropdowns, and expression editors. Node
parameters accept expressions enclosed in
{{ }} for dynamic resolution of upstream
data. JMESPath provides declarative JSON querying directly
within parameters, and dedicated transformation nodes—Set, Merge, and
Code—enable programmatic field manipulation.
[7]

For a full reference on configuring node parameters, writing expressions
with 58 built‑in methods, applying JMESPath for nested JSON extraction,
Set node field mapping, Merge node data combination, and Code node
JavaScript/Python execution, see the
n8n node configuration guide.

How do beginners add, connect, and test nodes on the n8n canvas?

Beginners start by opening the node panel—via the
+ icon, Tab key, or existing node
connector—and selecting a trigger node. Nodes are dragged onto
the canvas, connected by pulling from the output handle of one
node to the input handle of the next, and configured through the
right‑side parameters panel. Individual nodes can be
tested via Execute step before running the full workflow.
[8]

For a complete walkthrough covering the canvas, node panel, node
connections, trigger and action node selection, individual node testing,
and community‑node discovery and installation, visit the
n8n nodes for beginners guide.

Which nodes power AI, DevOps, and data pipeline use cases in n8n?

The AI Agent node orchestrates LLM providers (OpenAI,
Anthropic, Google Gemini) with tool‑calling, memory, and RAG capabilities
via LangChain. DevOps nodes (GitHub, GitLab, Jira, Jenkins)
automate CI/CD alerts, incident creation, and deployment notifications.
Data pipeline nodes (Postgres, MySQL, Google Sheets,
Airtable) enable ETL operations using native connectors or the universal
HTTP Request node for any REST API.
[9]

For practical implementations of AI agent workflows, DevOps incident
response, and data pipeline automations with these nodes, see the
n8n nodes by use case guide.

How does n8n’s node execution engine handle run order, queue mode, and concurrency?

n8n processes nodes sequentially using a stack‑based execution
model through the WorkflowExecute class. In regular
mode a single process handles everything; in queue
mode, a Redis‑backed BullMQ message broker distributes jobs
across independent worker processes, each reading from a shared
PostgreSQL database. Concurrency is controlled via
N8N_CONCURRENCY_PRODUCTION_LIMIT and per‑worker
--concurrency flags.
[10]

For a complete breakdown of node execution order, queue mode architecture
with Redis and PostgreSQL, worker configuration, concurrency tuning, and
execution timeout management, explore the
n8n node execution guide.