Where do I find my Unkey Root Key?

Log in to your [**Unkey Dashboard**](https://app.unkey.com/), go to settings, and navigate to the 'Root Keys' section to generate a new key for this integration.

Is it safe to verify keys through this agent?

Yes. All communication is encrypted and your Root Key is stored securely. When verifying a user key, the agent transmits it directly to Unkey's verification endpoint to check validity.

Unkey API Management MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Unkey API Management
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Unkey API Management through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Unkey API Management "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Unkey API Management?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Unkey API Management MCP Server

Connect your AI agent to Unkey, the robust platform for issuing and managing API keys at scale. This integration allows you to oversee your API infrastructure, manage developer keys, and audit verification analytics through natural conversation.

Pydantic AI validates every Unkey API Management tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the 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.

What you can do

Key Issuance — Create new API keys for your users with custom prefixes, metadata, and ownership
Verification — Instantly verify if a key is valid and check its remaining credits or usage limits
Lifecycle Management — List all keys for an API, update their status, or permanently revoke them
Infrastructure Oversight — List and inspect your defined APIs and their configurations
Usage Analytics — Retrieve detailed verification stats to monitor how your developers are using your services

The Unkey API Management MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 Unkey API Management to Pydantic AI via MCP

Follow these steps to integrate the Unkey API Management MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Unkey API Management with type-safe schemas

Why Use Pydantic AI with the Unkey API Management MCP Server

Pydantic AI provides unique advantages when paired with Unkey API Management through the Model Context Protocol.

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 Unkey API Management integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Unkey API Management connection logic from agent behavior for testable, maintainable code

Unkey API Management + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Unkey API Management MCP Server delivers measurable value.

Type-safe data pipelines: query Unkey API Management with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Unkey API Management tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Unkey API Management and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Unkey API Management responses and write comprehensive agent tests

Unkey API Management MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Unkey API Management to Pydantic AI via MCP:

create_api_key

Create a new API key for your users

get_api_details

Get detailed information for a specific API

get_verification_analytics

Retrieve usage analytics for your API keys

list_api_keys

List all API keys associated with a specific API ID

list_apis

Retrieve a list of all APIs in your Unkey project

revoke_api_key

Permanently delete (revoke) an API key

update_api_key

Update an existing API key

verify_api_key

Verify if an API key is valid

Example Prompts for Unkey API Management in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Unkey API Management immediately.

"List all APIs in my Unkey project."

"Verify the API key 'user_sk_abcdef123'."

Troubleshooting Unkey API Management MCP Server with Pydantic AI

Common issues when connecting Unkey API Management to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Unkey API Management + Pydantic AI FAQ

Common questions about integrating Unkey API Management MCP Server with Pydantic AI.

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 Unkey API Management MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.