Connect TED (Tenders Electronic Daily) to ChatGPT
Query TED (Tenders Electronic Daily) directly from ChatGPT. Arlet links the two through one MCP connection and takes care of API keys.
Connects your AI client to the TED v3 search API.
Tool:
- search_eu_tenders: search notices EU-wide. A plain query such as 'railway signalling' is wrapped as a full-text search; an expert query such as 'FT="software" AND PD>=20260101' is sent as written.
Implementation note: the TED v3 API rejects GET (405) and requires a POST body with a non-empty field list, so the request shape is handled by this server. Titles arrive as language maps and are collapsed to English where available.
This is a discovery tool: it returns notice metadata and links, not full tender documents. Follow the link for the complete notice and its annexes.
How to connect TED (Tenders Electronic Daily) to ChatGPT
- 1
In the Arlet dashboard, open Data tools, find TED (Tenders Electronic Daily) and switch it on. No API key setup is needed.
- 2
In ChatGPT, open Settings → Plugins → Browse plugins and click + at the top right.
- 3
In the New Plugin form, enter "Arlet" as the Name, choose Server URL for Connection and enter https://mcp.arlet.dev/mcp/, pick OAuth for Authentication, check the risk acknowledgement and click Create.
- 4
Open the Arlet plugin you created, click Sign in with Arlet, sign in with Google and click Allow. The connection is complete.
If the Plugins screen is not shown, turn on Developer mode under Settings → Security and login.