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

Quickstart

To get UK tender and government-contract data via an API: create a free Oro Intel API key (250 free credits, no card), then call https://api.oro-intel.com/v1/* with it as a bearer token — or connect the same data to any AI agent as an MCP server. First successful call in about 60 seconds.

1. Get a key

Sign up and create a key at app.oro-intel.com → Developers. The full key (oro_…) is shown once — store it as ORO_API_KEY.

2. Make your first call (free)

Check your balance — it costs nothing and proves the key works:

shell
curl -s "https://api.oro-intel.com/v1/balance" \
  -H "Authorization: Bearer $ORO_API_KEY"
response
{ "balance": 250, "credits_charged": 0, "credits_remaining": 250 }

Then a real search — live tenders, 2 credits:

shell
curl -s "https://api.oro-intel.com/v1/tenders/search?query=EV%20charging&limit=5" \
  -H "Authorization: Bearer $ORO_API_KEY"

3. Or connect an AI agent (MCP)

The same data is an MCP server at https://api.oro-intel.com/mcp/ (keep the trailing slash). In Claude Code:

shell
claude mcp add --transport http oro-intel https://api.oro-intel.com/mcp/

Sign in in the browser window that opens, then ask: "search UK tenders for EV charging in the last 30 days." Setup for Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code and more is on the MCP server page.

Next

  • API reference: every endpoint with per-action credit costs and curl/Python/JavaScript examples.
  • MCP server: install matrix for every client.
  • Examples: company by name to full profile.
  • GitHub: runnable examples for LangChain, LlamaIndex, Vercel AI SDK, PydanticAI and more.