TED EU MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TED EU through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="TED EU Assistant",
instructions=(
"You help users interact with TED EU. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TED EU"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About TED EU MCP Server
Connect TED (Tenders Electronic Daily) to any AI agent and search EU public procurement opportunities through natural conversation instead of navigating complex procurement portals.
The OpenAI Agents SDK auto-discovers all 6 tools from TED EU through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries TED EU, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Full-Text Search — Search across all TED procurement notices using keywords like "software development" or "medical equipment"
- Country Filtering — Find active tenders from any of the 27 EU member states using ISO country codes
- CPV Classification — Search by Common Procurement Vocabulary codes to target specific industry sectors
- Value Range Search — Filter tenders by contract value in EUR to match your company size and capacity
- Recent Opportunities — Monitor newly published tenders from the last 7 days to stay ahead of deadlines
- Notice Details — Retrieve full procurement details including lots, award criteria, timelines, and contracting authority contacts
The TED EU MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect TED EU to OpenAI Agents SDK via MCP
Follow these steps to integrate the TED EU MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from TED EU
Why Use OpenAI Agents SDK with the TED EU MCP Server
OpenAI Agents SDK provides unique advantages when paired with TED EU through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
TED EU + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TED EU MCP Server delivers measurable value.
Automated workflows: build agents that query TED EU, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries TED EU, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TED EU tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TED EU to resolve tickets, look up records, and update statuses without human intervention
TED EU MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect TED EU to OpenAI Agents SDK via MCP:
get_tender
Includes description, lots, award criteria, timelines, and contracting authority contact. Get tender notice details
list_recent_tenders
Default is 7 days. Use to monitor new opportunities. List recently published tenders
search_by_country
Use ISO country codes: DE, FR, ES, IT, PT, NL, etc. Search tenders by country
search_by_cpv
CPV codes classify EU contracts by sector: 72000000 (IT), 45000000 (Construction), 33000000 (Medical). Search tenders by CPV code
search_by_value
Useful for finding contracts matching your company size. Search tenders by contract value
search_tenders
Returns title, country, value, deadline, and contracting authority. Covers all 27 EU member states. Search EU public tenders
Example Prompts for TED EU in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with TED EU immediately.
"Find recent tenders for software development in France."
"Show me construction tenders worth over 5 million euros."
"What new tenders were published this week?"
Troubleshooting TED EU MCP Server with OpenAI Agents SDK
Common issues when connecting TED EU to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TED EU + OpenAI Agents SDK FAQ
Common questions about integrating TED EU MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect TED EU with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TED EU to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.