How to Use the Traefik Hub MCP in Pydantic AI
Ensure data correctness for production agents with Pydantic AI and Traefik Hub.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Traefik Hub MCP to Pydantic AI
Create your Vinkius account to connect Traefik Hub to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Verify API structure using MCP Server
The agent uses `traefik_list_apis` to pull the central directory of APIs. Since everything returns structured data, your Pydantic models validate every field. This prevents silent failures when consuming external service endpoints.
Monitor Gateway activity via Traefik Hub
To audit traffic, the agent calls `traefik_get_api_metrics`. It gathers structured execution telemetries that feed directly into your Pydantic-validated data structures. This gives you reliable metrics on error traces and latency.
Control API access tokens
You can manually grant permissions using `traefik_approve_subscription` to deploy logic tokens. Or, if a token is compromised, use `traefik_revoke_subscription` to tear it down completely. Both actions are tracked and validated by the MCP Server.
Set up Traefik Hub MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"traefik-hub-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Traefik Hub tools.",
)
result = await agent.run("List recent Traefik Hub transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Traefik Hub. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Traefik Hub MCP in Pydantic AI
Use it with your favorite AI tools
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Start using the Traefik Hub MCP today
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