Block 1 - Workflow Overview 0
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond nodes automation lab 2006/a...
n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.mcptrigger, n8n-nodes-base.twittertool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by David Ashby.
Original n8n.io sourceNeed help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?
Complete MCP server exposing all X (Formerly Twitter) Tool operations to AI agents. Zero configuration needed - all 8 operations pre-built.
β’ MCP Trigger: Serves as your server endpoint for AI agent requests
β’ Tool Nodes: Pre-configured for every X (Formerly Twitter) Tool operation
β’ AI Expressions: Automatically populate parameters via $fromAI() placeholders
β’ Native Integration: Uses official n8n X (Formerly Twitter) Tool tool with full error handling
Every possible X (Formerly Twitter) Tool operation is included:
β’ Create Direct Message
β’ Add Member to List
β’ Create Tweet β’ Delete Tweet β’ Like Tweet β’ Retweet Tweet β’ Search Tweets
β’ Get User
Parameter Handling: AI agents automatically provide values for: β’ Resource IDs and identifiers β’ Search queries and filters β’ Content and data payloads β’ Configuration options
Response Format: Native X (Formerly Twitter) Tool API responses with full data structure
Error Handling: Built-in n8n error management and retry logic
Connect this MCP server to any AI agent or workflow:
β’ Claude Desktop: Add MCP server URL to configuration β’ Custom AI Apps: Use MCP URL as tool endpoint β’ Other n8n Workflows: Call MCP tools from any workflow β’ API Integration: Direct HTTP calls to MCP endpoints
β’ Complete Coverage: Every X (Formerly Twitter) Tool operation available
β’ Zero Setup: No parameter mapping or configuration needed
β’ AI-Ready: Built-in $fromAI() expressions for all parameters
β’ Production Ready: Native n8n error handling and logging
β’ Extensible: Easily modify or add custom logic
> π Free for community use! Ready to deploy in under 2 minutes.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | π οΈ X (formerly Twitter) tool MCP server πͺ all 8 operations |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | AI RAG |
| Author | David Ashby |
| Published | 20 Jun 2025 |
Use the JSON export at /data/workflows/5076/5076.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond nodes automation lab 2006/a...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI RAG use case.