How to Use the Kong (AI API Gateway) MCP in Pydantic AI
Type-safe API gateway management with Pydantic AI and Kong (AI API Gateway).
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kong (AI API Gateway) MCP to Pydantic AI
Create your Vinkius account to connect Kong (AI API Gateway) 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.
Type-Safe Route Provisioning
The `create_service` tool on your MCP Server defines your upstream LLM provider details. Your agent maps this service to a public path using `create_route`, creating a strict ingress point for your applications. Because Pydantic AI validates every response, the gateway configuration must match your predefined schemas. If the gateway returns an unexpected protocol format, the framework throws a validation error immediately.
Configure AI Plugins via MCP Server
Applying `create_ai_plugin` attaches proxy behavior to your newly created routes. This handles request transformation and credential injection before the traffic hits the provider. You adjust these settings dynamically with `update_plugin`. When traffic spikes, your agent modifies the rate limits or shifts the model provider, and Pydantic AI guarantees the payload structure is correct before execution.
Secure Consumer Access
Generating access tokens requires calling `create_consumer_key`. The agent provisions these credentials for specific users and securely returns them to your calling application. You audit active users by executing `list_consumers` and `list_plugins`. If the agent finds an unauthorized plugin or an expired consumer, it uses `delete_plugin` to strip the access rule from the gateway.
Set up Kong (AI API Gateway) 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": {
"kong-ai-api-gateway-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Kong (AI API Gateway) tools.",
)
result = await agent.run("List recent Kong (AI API Gateway) 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 Kong. 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 Kong (AI API Gateway) MCP in Pydantic AI
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