Do I need an API key to use TED?

No! The TED Search API allows anonymous access for basic queries. An API key only increases your rate limits for high-volume usage. You can start searching tenders immediately without any credentials. If you need higher throughput, get a free key at developer.ted.europa.eu.

How can I find IT contracts over 500K EUR in Germany?

Combine tools: use `search_by_cpv` with code 72000000 (IT services) or `search_by_country` with code DE, then ask your agent to filter by value. Or use `search_by_value` with min_value 500000 and max_value 10000000. Your agent cross-references the results to show only German IT contracts above your threshold.

Is TED data limited to EU countries only?

TED primarily covers the 27 EU member states, but it also includes notices from EEA countries (Norway, Iceland, Liechtenstein), EU candidate countries, and some international organizations. All tools return data across this full scope. The `search_by_country` tool supports ISO codes for all covered territories.

TED EU MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: TED EU
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to TED EU through Vinkius, pass the Edge URL in the `mcps` parameter and every TED EU tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="TED EU Specialist",
    goal="Help users interact with TED EU effectively",
    backstory=(
        "You are an expert at leveraging TED EU tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in TED EU "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, TED EU becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call TED EU tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the TED EU MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from TED EU

Why Use CrewAI with the TED EU MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with TED EU through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

TED EU + CrewAI Use Cases

Practical scenarios where CrewAI combined with the TED EU MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries TED EU for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries TED EU, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain TED EU tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries TED EU against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

TED EU MCP Tools for CrewAI (6)

These 6 tools become available when you connect TED EU to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting TED EU to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

TED EU + CrewAI FAQ

Common questions about integrating TED EU MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.