Compatible with every major AI agent and IDE
What is the Kong Gateway MCP Server?
Connect your Kong Gateway Admin API to any AI agent and take full control of your API management lifecycle through natural conversation.
What you can do
- Services & Routes — List, create, and update upstream services and their associated routing rules to manage traffic flow.
- Consumer Management — Query and manage API consumers, allowing you to track users and applications interacting with your gateway.
- Plugin Configuration — Inspect and manage plugins for authentication, rate limiting, and logging across your services and routes.
- Upstreams & Targets — Configure load balancing by managing upstreams and their health-checked targets.
- SSL/TLS Management — List and update certificates and SNIs to ensure secure communication across your endpoints.
- System Health — Retrieve real-time status and information about your Kong instance to monitor performance.
How it works
- Subscribe to this server
- Enter your Kong Admin URL (and optional Admin Token)
- Start managing your API infrastructure from Claude, Cursor, or any MCP-compatible client
No more manual cURL commands or navigating complex dashboards to check a route configuration. Your AI acts as a dedicated DevOps engineer or API Architect.
Who is this for?
- DevOps Engineers — quickly check gateway status, list plugins, and verify upstream health without leaving the terminal or IDE.
- Backend Developers — create and test new services and routes instantly during the development cycle.
- API Architects — audit consumer access and plugin configurations to ensure security and compliance across the organization.
Built-in capabilities (40)
Create a new Kong Certificate
Create a new Kong Consumer
Create a new Kong Plugin
Create a new Kong Route
Create a new Kong Service
Create a new Kong SNI
Create a new Target for an Upstream
Create a new Kong Upstream
Delete a Kong Certificate
Delete a Kong Consumer
Delete a Kong Plugin
Delete a Kong Route
Delete a Kong Service
Delete a Kong SNI
Delete a Target from an Upstream
Delete a Kong Upstream
Get details for a specific Kong Certificate
Get details for a specific Kong Consumer
Retrieve general information about the Kong node
Get details for a specific Kong Plugin
Get details for a specific Kong Route
Get details for a specific Kong Service
Get details for a specific Kong SNI
Retrieve the status of the Kong node
Get details for a specific Kong Upstream
List all Kong Certificates
List all Kong Consumers
List all Kong Plugins
List all Kong Routes
List all Kong Services
List all Kong SNIs
List all Targets for an Upstream
List all Kong Upstreams
Update an existing Kong Certificate
Update an existing Kong Consumer
Update an existing Kong Plugin
Update an existing Kong Route
Update an existing Kong Service
Update an existing Kong SNI
Update an existing Kong Upstream
Why Pydantic AI?
Pydantic AI validates every Kong Gateway tool response against typed schemas, catching data inconsistencies at build time. Connect 40 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Kong Gateway integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your Kong Gateway connection logic from agent behavior for testable, maintainable code
Kong Gateway in Pydantic AI
Kong Gateway and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Kong Gateway to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Kong Gateway in Pydantic AI
The Kong Gateway 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. All 40 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Kong Gateway for Pydantic AI
Every tool call from Pydantic AI to the Kong Gateway MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check if my Kong Gateway instance is running correctly?
You can use the get_status tool. It will return the current status of the Kong node, including database connectivity and server metrics.
Can I list all the plugins currently enabled on my gateway?
Yes! Use the list_plugins tool to retrieve a complete list of all configured plugins across your entire Kong instance.
Is it possible to create a new service and its route through the AI?
Absolutely. You can use create_service to define your upstream and then create_route to specify how traffic should reach that service.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Kong Gateway MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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