Dynamic MCP Server Selection with OpenAI GPT-4.1 and Contextual AI Reranker

PROBLEM Thousands of MCP Servers exist and many are updated daily, making server selection difficult for LLMs. Current approaches require manually downloading and configuring servers, limiting flexibility. When multiple servers are pre-configured, LLMs get overwhelmed and confused about which server to use for specific tasks. This template enables dynamic server selection from a live PulseMCP directory of 5000+ servers. How it works A user query goes to an LLM that decides whether to use MCP servers to fulfill a given query and provides reasoning for its decision. Next, we fetch MCP Servers from Pulse MCP API and format them as documents for reranking Now, we use Contextual AI's Reranker to

Help me set up the n8n workflow "Dynamic MCP Server Selection with OpenAI GPT-4.1 and Contextual AI Reranker" (https://n8n.io/workflows/8272). It uses: HTTP Request, Code, AI Agent, OpenAI Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.