Query-to-Action Automation with Bright Data MCP & OpenAI GPT

📌 AI Agent Template with Bright Data MCP Tool Integration This template obtains all the possible tools from Bright Data MCP, process this through chatbot, then run any tool based on the user's query ❓ Problem It Solves The problem that the MCP solves is the complexity and difficulty of traditional automation, where users need to have specific knowledge of APIs or interfaces to trigger backend processes. By allowing interaction through natural language, automatically classifying and routing queries, and managing context and memory effectively, MCP simplifies complex data operations, customer support, and workflow orchestration scenarios where inputs and responses change dynamically. 🧰 Pre-r

Help me set up the n8n workflow "Query-to-Action Automation with Bright Data MCP & OpenAI GPT" (https://n8n.io/workflows/4077). It uses: AI Agent, OpenAI Chat Model, Simple Memory, Call n8n Workflow Tool, Chat Memory Manager, OpenAI. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.