Keycloak MCP Server for LlamaIndexGive LlamaIndex instant access to 34 tools to Create Auth Flow, Create Client, Create Group, and more

Name: Keycloak
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Keycloak as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Keycloak MCP Server for LlamaIndex 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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Keycloak. "
            "You have 34 tools available."
        ),
    )

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

asyncio.run(main())

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.

LlamaIndex agents combine Keycloak tool responses with indexed documents for comprehensive, grounded answers. Connect 34 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 34 tools from Keycloak

Why Use LlamaIndex with the Keycloak MCP Server

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

Data-first architecture: LlamaIndex agents combine Keycloak tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Keycloak tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Keycloak, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Keycloak tools were called, what data was returned, and how it influenced the final answer

Keycloak + LlamaIndex Use Cases

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

Hybrid search: combine Keycloak real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Keycloak to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Keycloak for fresh data

Analytical workflows: chain Keycloak queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Keycloak in LlamaIndex

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

"List all realms available in our Keycloak instance."

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

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

Troubleshooting Keycloak MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Keycloak + LlamaIndex FAQ

Common questions about integrating Keycloak MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Keycloak tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.