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For agents:start at/llms.txt·everything as Markdown at/llms-full.txt·or add theMCP server.

UK procurement data in n8n

Two ways to get UK tender and contract data into an n8n workflow: give an AI Agent node the Oro Intel MCP server as a tool, or call the REST API directly with an HTTP Request node.

Prerequisites

  • An Oro Intel API key (create one, 250 free credits).
  • n8n 1.88+ for the native MCP Client Tool node.

Option 1 — AI Agent + MCP Client Tool

  1. Add an AI Agent node and attach an MCP Client Tool.
  2. Endpoint: https://api.oro-intel.com/mcp/ (keep the trailing slash), transport HTTP Streamable.
  3. Authentication: Header Auth credential — name Authorization, value Bearer oro_YOUR_KEY.
  4. The agent gets all 13 oro_* tools; each tool description states its credit cost.

Prompt to try: "search UK tenders for EV charging and summarise the top 5 by deadline."

Option 2 — HTTP Request node (REST)

For deterministic workflows without an LLM, call any endpoint directly:

HTTP Request node settings
Method:  GET
URL:     https://api.oro-intel.com/v1/tenders/search
Query:   query = EV charging, limit = 10
Headers: Authorization = Bearer oro_YOUR_KEY  (use a Header Auth credential)
response (trimmed)
{
  "items": [ { "notice_id": "…", "title": "EV Charging Infrastructure…" } ],
  "credits_charged": 2,
  "credits_remaining": 248
}

Every metered response includes credits_charged/credits_remaining — wire an IF node on credits_remaining to alert before you run out. Full endpoint list on the API reference.

Next steps