Bring Iam
to Pydantic AI
Learn how to connect Keycloak to Pydantic AI and start using 34 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Provide your Keycloak Base URL and a valid Admin Access Token
- Start managing your IAM infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- DevOps & SREs — Quickly audit realm events and manage client configurations during deployments.
- Security Administrators — Perform emergency password resets or session terminations via simple commands.
- Backend Developers — Setup test users and retrieve client credentials directly within the IDE flow.
Built-in capabilities (34)
Create an authentication flow
Create a new client
Create a top-level group
Create a realm-level role
Create a new user
Delete a client
Delete a group
Delete a realm
Delete a user
Get client representation
Get client secret
Get group representation
Get realm representation
Get a role by name
Get user representation
Import a realm
Get admin events for a realm
Get authentication flows
Get client-level roles
Get all clients in the realm
Get group hierarchy
Get accessible realms
Get required actions
Get realm-level roles
Get user groups
Get users in a realm
Remove all user sessions in a realm
Partial export of a realm
Regenerate client secret
Reset user password
Update a client
Update a group
Update realm information
Update a user
Why Pydantic AI?
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.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Keycloak integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Keycloak connection logic from agent behavior for testable, maintainable code
Keycloak in Pydantic AI
Keycloak and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Keycloak 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 Keycloak in Pydantic AI
The Keycloak 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 34 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
Keycloak for Pydantic AI
Every tool call from Pydantic AI to the Keycloak MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I reset a user's password using this integration?
Yes. You can use the reset_user_password tool by providing the realm name, the user ID, and the new credential representation. This allows for immediate password management via the AI.
Is it possible to audit administrative changes in a specific realm?
Absolutely. The list_admin_events tool retrieves the history of administrative actions for a target realm, helping you track who changed what and when.
Can I retrieve OIDC client secrets for my applications?
Yes, the get_client_secret tool allows you to fetch the secret for any configured client in a realm. You can also use regenerate_client_secret if a rotation is required.
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 Keycloak MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai
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