Traefik Hub MCP. Govern API Routes & Traffic Without the CLI.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Traefik Hub MCP Server manages API gateways, proxy topologies, and Kubernetes integrations. It lets your agent discover active APIs, monitor latency metrics, map running agents, and revoke suspicious access tokens without manual cluster edits.
If you run complex microservices on K8s and need centralized visibility into traffic flow or user access, this is what you use.
What your AI agents can do
Traefik approve subscription
Grants network traversal to an external application by approving its specific logic binding token.
Traefik get agent health
Checks the operational status of ingress hubs by running liveness probes across the cluster.
Traefik get api metrics
Returns structured telemetry data, including error counts and specific API latencies.
The agent pulls a directory of every internal and external HTTP API routed through the Gateway.
It runs liveness probes to test if all ingress hubs are operational across your cluster.
The agent collects aggregated error traces and detailed API latency data points.
It locates all running Traefik Ingress deployment pods mapped dynamically onto the hub.
The agent enumerates all logical namespaces and API Portals defined within your workspace boundaries.
It lists every tracked external identity attempting to access resources via the proxy portals.
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Supported MCP Clients
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Traefik Hub: 8 Tools for Gateway Management
Use these eight tools to programmatically manage API routing, check service health, audit access tokens, and monitor performance metrics across your entire microservice mesh.
019d7614traefik approve subscription
Grants network traversal to an external application by approving its specific logic binding token.
019d7614traefik get agent health
Checks the operational status of ingress hubs by running liveness probes across the cluster.
019d7614traefik get api metrics
Returns structured telemetry data, including error counts and specific API latencies.
019d7614traefik list active agents
Finds all deployed Traefik Ingress pods that are currently mapped onto the hub.
019d7614traefik list apis
Pulls a directory listing of every published internal and external HTTP API routing through the Gateway.
019d7614traefik list subscriptions
Maps out all external identities that are currently attempting to access resources over proxy portals.
019d7614traefik list workspaces
Lists and organizes active logical scopes, such as namespaces or API Portals within the Hub.
019d7614traefik revoke subscription
Instantly bans and tears down an existing external application consumer token.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Traefik Hub, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
When you run complex microservices on Kubernetes, you don't wanna be manually editing YAML files or praying your deployment doesn't break. Your AI client uses this MCP Server to govern traffic, monitor performance, and enforce security boundaries across all your services. This server lets your agent manage API gateways and proxy topologies without ever touching the cluster configuration directly.
To map out what you have running, start with a complete inventory. You can pull a directory listing of every internal or external HTTP API that's routed through the Gateway using traefik_list_apis. This gives you the full scope of endpoints available. If you need to see how your services are organized logically, run traefik_list_workspaces; this enumerates all active logical scopes, including namespaces or entire API Portals within your Hub.
Finding out what's actually running is crucial. To locate every deployed Traefik Ingress pod currently mapped onto the hub, you call traefik_list_active_agents. This shows which services are actively serving traffic. When it comes to performance checks, your agent collects structured telemetry data using traefik_get_api_metrics. This metric gathering gives you detailed API latencies and accurate error counts for every endpoint.
You can also check the operational health of the ingress hubs by running liveness probes across the cluster with traefik_get_agent_health, telling you immediately if all your worker nodes are up.
For identity management, you need to know who's accessing what. Running traefik_list_subscriptions maps out every external identity that’s currently trying to reach resources over the proxy portals. If an application needs network traversal access, you grant it by approving its specific logic binding token using traefik_approve_subscription. Conversely, if you detect a problem or suspect unauthorized activity, you can instantly ban and tear down an existing consumer token with traefik_revoke_subscription.
This combination of tools lets your agent treat the entire gateway infrastructure like a simple command line. You don't write complex routing rules; you just ask your client to list APIs, check metrics, or revoke tokens. It handles all that complexity behind the scenes for you.
How Traefik Hub MCP Works
- 1 First, your agent acquires your platform tokens directly from the Hub configuration. You pass this credential into the prompt.
- 2 Next, the agent orchestrates Kubernetes ingress interactions by hitting the SaaS endpoints to evaluate logic bounds downstream and execute commands.
- 3 Finally, you get real-time telemetry audits back—latencies, portal health matrices, and cost estimates—without having to write a single
kubectlcommand.
The bottom line is: it lets your AI client manage complex API routing and security using natural language commands instead of platform CLI tools.
Who Is Traefik Hub MCP For?
This is for the Platform Architect, the Site Reliability Engineer (SRE), or the Backend Admin who gets sick of SSHing into clusters just to check if an API endpoint broke. You're the person whose job involves keeping things running 24/7 and you hate manual YAML changes.
Runs traefik_get_api_metrics to detect latency spikes or error clusters immediately, letting them adjust load balancers before users notice.
Uses traefik_list_workspaces and traefik_list_apis to map out the entire API surface area when planning a new microservice deployment.
Manages access control by running traefik_revoke_subscription instantly on compromised or retired external client tokens.
What Changes When You Connect
- Audit performance with
traefik_get_api_metrics. Instead of checking dashboards manually, your agent collects error traces and detailed latencies in one call. You see exactly where traffic bottlenecks are forming. - Control access instantly using
traefik_revoke_subscription. If an external app gets compromised or retired, you don't need to SSH into a node; the token is banned immediately via the tool. - Gain full visibility with
traefik_list_apis. You can dump every published API endpoint in one query. This saves hours of manual discovery when onboarding new services. - Monitor infrastructure health using
traefik_get_agent_healthandtraefik_list_active_agents. It provides a pass/fail status on your ingress hubs, letting you know if something broke before production users do. - Manage scope with
traefik_list_workspaces. You can map out all logical boundaries (namespaces) in the system. This helps prevent accidental cross-pollination of traffic between services. - Streamline security review by using
traefik_list_subscriptionsto see who's trying to get in. It lists every external identity attempting access, making compliance checks a simple query.
Real-World Use Cases
Investigating an API slowdown
A user notices the /v2/data endpoint is slow. They ask their agent to run traefik_get_api_metrics. The agent runs the query, pulling back latency data and error traces that point directly to a specific upstream service struggling under load. Problem solved in minutes.
Decommissioning an external client
A partner application is shut down. Instead of logging into the cluster and manually deleting resources, the user tells their agent to run traefik_revoke_subscription against that partner's token ID. The access is instantly severed, preventing any further unauthorized calls.
Onboarding a new microservice
A dev team finishes a new service and needs it exposed. They ask the agent to run traefik_list_apis first to see existing endpoints, then use traefik_list_workspaces to ensure they deploy into the correct logical scope before making the API public.
Security audit of active agents
The security team needs a full report on what's currently running. They run traefik_list_active_agents and then cross-reference that list with traefik_get_agent_health to get both the count and the operational status of every ingress pod.
The Tradeoffs
Debugging connectivity manually
Trying to figure out why an API isn't working by running multiple kubectl describe commands on various pods, cross-referencing logs across three different tabs.
→
Instead, use the agent. First, check if the endpoint exists with traefik_list_apis. If it does, run traefik_get_api_metrics to see if there are active errors or high latency metrics that point to a failure.
Revoking access via dashboard UI
Having to click through several menus and hit 'delete' on an external identity token, which is tedious and error-prone.
→
Just tell your agent to run traefik_revoke_subscription using the specific UUID. It handles the entire cleanup process in one API call.
Assuming a service exists
Writing code that calls an internal endpoint name that might have been refactored or renamed, leading to runtime 404s.
→
Before coding, ask the agent to run traefik_list_apis. This gives you the definitive, current list of published API names and routes.
When It Fits, When It Doesn't
Use this if your core problem is visibility or governance. You need a centralized source of truth for who can talk to whom, how fast they are talking, and what APIs exist across a complex K8s mesh. For example: If you find an API endpoint but don't know its scope, run traefik_list_workspaces. If the API is fine but slow, run traefik_get_api_metrics.
Don't use this if your problem is simple networking (e.g., 'Can I ping IP X?'). For basic connectivity checks, a standard network tool works. Use this when you need to manage application-layer traffic rules—things like OAuth token validation (traefik_approve_subscription) or mapping logical service boundaries.
The key decision: If the fix requires reading an API configuration list, checking performance data, or modifying security access lists, use Traefik Hub. Otherwise, stick to simpler tools.
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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
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Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
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EU data residency
Token Compression
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
API Gateway management shouldn't require a full-time YAML editor.
Today, managing API routes means jumping between the Kubernetes dashboard, multiple CRD manifests, and service meshes. You update a single ingress rule—say, changing a rate limit or moving an endpoint—and suddenly you're staring at three different files, hoping your YAML structure didn't break something else.
With this MCP server, that process disappears. Your agent handles the complexity. Just tell it to 'update the rate limits on the user profile API.' It figures out which resources need modification and executes the change, giving you a clean confirmation without showing you half a dozen YAML diffs.
traefik_list_apis: See every published endpoint in one go.
Before this tool, if you wanted to know what APIs were live on the gateway, you had to piece together information from multiple service discovery tools and check various labels across different namespaces. It was a tedious crawl through documentation and dashboards.
Now, running `traefik_list_apis` dumps the central directory of every single API endpoint that's routed. You get the full map instantly. No guesswork required.
Common Questions About Traefik Hub MCP
How do I find out which APIs are active using traefik_list_apis? +
Run traefik_list_apis. This command dumps the central directory of all published internal and external HTTP API routes across the gateway. It's your definitive source of truth for what endpoints exist.
What should I use if an external app starts acting weird? Should I use traefik_revoke_subscription? +
Yes, traefik_revoke_subscription is the direct fix. It instantly bans and tears down a specific API consumer token. This stops any unauthorized or compromised access immediately.
Is `traefik_get_api_metrics` better than checking Prometheus? +
It's faster, especially for ad-hoc checks. While Prometheus gives you all the data, traefik_get_api_metrics aggregates error traces and latencies into a structured report directly through your agent conversation.
How do I check if my agents are running correctly? Do I use traefik_list_active_agents or traefik_get_agent_health? +
Use both. traefik_list_active_agents shows you which pods are mapped. Then, run traefik_get_agent_health to verify the operational status and check for liveness probe failures on those listed agents.
How do I see all the different logical scopes or API portals using traefik_list_workspaces? +
It enumerates all active logic scopes, helping you organize and manage which API Portals are governed inside your overall setup. This gives a clear view of how namespaces are structured within Traefik Hub.
If I need an audit of external users connecting to the APIs, what does traefik_list_subscriptions show me? +
It maps every tracked external identity attempting logic access over your proxy portals. You get details on who is trying to connect and which credentials are accessing the gateway.
If a new third-party app needs temporary access, how do I use traefik_approve_subscription? +
Running this command manually grants the necessary ingress traversal tokens to an application. You use it when you need to explicitly bridge an external service downstream after manual verification.
How do I verify that all my Kubernetes agents are properly mapped using traefik_list_active_agents? +
This command maps and lists every Traefik Ingress deployment pod currently running on the hub. It confirms exactly which clusters are connected to the gateway for routing purposes.
Can I explicitly track proxy traffic analytics natively using the Traefik MCP integration? +
Yes! Utilize get_api_metrics providing target APIs resolving strict analytic latency loops isolated.
How do I explicitly approve or ban active third-party token portals natively? +
Target UUID logic limits explicitly inside approve_subscription or natively utilizing revoke_subscription avoiding manual CRD bounding errors natively secure.
What orchestrates the physical Kubernetes deployments bounds mapped transparently? +
Yes, native traces executing explicitly under get_agent_health resolve infrastructure matrix states naturally avoiding SaaS panics inherently completely mapped.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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