MCP server
Ausschreibungsagenten Tender Search Official
de.ausschreibungsagenten/tender-search
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Search public procurement notices from 17 sources across Germany, the EU and the UK. Read-only.
Working at last checkVerified publisher: ausschreibungsagenten.deAbout 803 tokens per request once connected6 tools
https://api.ausschreibungsagenten.de/mcp
At a glance
- Type
- MCP server
- Publisher
- ausschreibungsagenten.de (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 803 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http tender-search https://api.ausschreibungsagenten.de/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.tender-search] url = "https://api.ausschreibungsagenten.de/mcp"
Gemini CLI
{"mcpServers":{"tender-search":{"httpUrl":"https://api.ausschreibungsagenten.de/mcp"}}}
Cursor
{"mcpServers":{"tender-search":{"url":"https://api.ausschreibungsagenten.de/mcp"}}}
VS Code
{"servers":{"tender-search":{"type":"http","url":"https://api.ausschreibungsagenten.de/mcp"}}}
Antigravity
agy mcp add tender-search https://api.ausschreibungsagenten.de/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"tender-search","server_url":"https://api.ausschreibungsagenten.de/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"tender-search","server_url":"https://api.ausschreibungsagenten.de/mcp"}
Tools
countries~111 tokens
Stored notice count per buyer country (ISO alpha-3) across the whole index. Pass min_count to drop countries with only a handful of notices.fulltext_search~79 tokens
Full-text search over stored tender titles, descriptions, and buyers.get_tender~88 tokens
Fetch one tender by its id (as returned by the search tools), optionally with a cached AI summary.search_tenders~265 tokens
Search live public tender previews. Filter by ISO alpha-3 country, CPV codes (full 8-digit codes match exactly, shorter numeric prefixes such as '45' match whole divisions), deadline window and contract value. summary_lang attaches cached AI summaries in that language.source_status~118 tokens
Live status of connected procurement sources: implementation status, last successful poll and stored notice count. Honest coverage instead of claims. Pass source to check one portal instead of all.summarize_tender~142 tokens
Return the AI summary (title + max two sentences) of a tender in English or German. Labelled as AI-generated; the original notice prevails. Cached per tender and language; generating a NEW summary requires an API key (free tier is enough), anonymous callers get cached ones.
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