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Keycloak MCP Server for Pydantic AIGive Pydantic AI instant access to 34 tools to Create Auth Flow, Create Client, Create Group, and more

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

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The Keycloak MCP Server for Pydantic AI is a standout in the Fort Knox category — giving your AI agent 34 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Keycloak "
            "(34 tools)."
        ),
    )

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

asyncio.run(main())
Keycloak
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Keycloak MCP Server

Connect your Keycloak instance to any AI agent to streamline your Identity and Access Management (IAM) workflows. This server provides comprehensive tools to audit, configure, and maintain your security infrastructure through natural language.

Pydantic AI validates every Keycloak tool response against typed schemas, catching data inconsistencies at build time. Connect 34 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.

What you can do

  • Realm Administration — List, import, and export realms, or monitor admin events to audit changes across your infrastructure.
  • User Management — Create, update, or delete users, reset passwords, and inspect user group memberships without leaving your chat interface.
  • Client Configuration — Manage OIDC/SAML clients, retrieve client secrets, and regenerate credentials instantly.
  • Groups & Roles — Organize your security hierarchy by managing groups and assigning roles at both realm and client levels.
  • Session Control — Force global logouts across entire realms to mitigate security threats in real-time.

The Keycloak MCP Server exposes 34 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 34 Keycloak tools available for Pydantic AI

When Pydantic AI connects to Keycloak through Vinkius, your AI agent gets direct access to every tool listed below — spanning iam, authentication, authorization, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create auth flow on Keycloak

Create an authentication flow

create

Create client on Keycloak

Create a new client

create

Create group on Keycloak

Create a top-level group

create

Create role on Keycloak

Create a realm-level role

create

Create user on Keycloak

Create a new user

delete

Delete client on Keycloak

Delete a client

delete

Delete group on Keycloak

Delete a group

delete

Delete realm on Keycloak

Delete a realm

delete

Delete user on Keycloak

Delete a user

get

Get client on Keycloak

Get client representation

get

Get client secret on Keycloak

Get client secret

get

Get group on Keycloak

Get group representation

get

Get realm on Keycloak

Get realm representation

get

Get role on Keycloak

Get a role by name

get

Get user on Keycloak

Get user representation

import

Import realm on Keycloak

Import a realm

list

List admin events on Keycloak

Get admin events for a realm

list

List auth flows on Keycloak

Get authentication flows

list

List client roles on Keycloak

Get client-level roles

list

List clients on Keycloak

Get all clients in the realm

list

List groups on Keycloak

Get group hierarchy

list

List realms on Keycloak

Get accessible realms

list

List required actions on Keycloak

Get required actions

list

List roles on Keycloak

Get realm-level roles

list

List user groups on Keycloak

Get user groups

list

List users on Keycloak

Get users in a realm

logout

Logout all users on Keycloak

Remove all user sessions in a realm

partial

Partial export realm on Keycloak

Partial export of a realm

regenerate

Regenerate client secret on Keycloak

Regenerate client secret

reset

Reset user password on Keycloak

Reset user password

update

Update client on Keycloak

Update a client

update

Update group on Keycloak

Update a group

update

Update realm on Keycloak

Update realm information

update

Update user on Keycloak

Update a user

Connect Keycloak to Pydantic AI via MCP

Follow these steps to wire Keycloak into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 34 tools from Keycloak with type-safe schemas

Why Use Pydantic AI with the Keycloak MCP Server

Pydantic AI provides unique advantages when paired with Keycloak through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Keycloak integration code

03

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

04

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

Keycloak + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Keycloak MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for Keycloak in Pydantic AI

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

01

"List all realms available in our Keycloak instance."

02

"Get the details for user ID '550e8400-e29b' in the 'production-apps' realm."

03

"Create a new group called 'Engineering-Leads' in the 'master' realm."

Troubleshooting Keycloak MCP Server with Pydantic AI

Common issues when connecting Keycloak to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Keycloak + Pydantic AI FAQ

Common questions about integrating Keycloak MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Keycloak MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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