Okta MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Okta as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Okta. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Okta?"
)
print(response)
asyncio.run(main())
* 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 Okta MCP Server
Connect your Okta Identity Cloud instance to any AI agent to streamline identity management, user provisioning, and secure access flows. Eliminate the need to dig through administrative dashboards by interacting conversationally to create users, unblock accounts, or manage group assignments.
LlamaIndex agents combine Okta tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- User Provisioning & Lifecycle — Interrogate the AI to list active users, retrieve specific profile details, create new identities, or cleanly deprovision departing employees
- Access Control & Troubleshooting — Instantly check a user's sign-in activity to resolve locks, reset credentials, or clear active sessions centrally
- Group Segregation — Manage departmental access by querying group directories, creating structured groups, or orchestrating bulk user assignments into logical access structures
- Application Assignment — Audit the integrations mapped to your user base, ensuring proper access to company apps based on the least-privilege principle
The Okta MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Okta to LlamaIndex via MCP
Follow these steps to integrate the Okta MCP Server with LlamaIndex.
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 10 tools from Okta
Why Use LlamaIndex with the Okta MCP Server
LlamaIndex provides unique advantages when paired with Okta through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Okta tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Okta tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Okta, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Okta tools were called, what data was returned, and how it influenced the final answer
Okta + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Okta MCP Server delivers measurable value.
Hybrid search: combine Okta real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Okta 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 Okta for fresh data
Analytical workflows: chain Okta queries with LlamaIndex's data connectors to build multi-source analytical reports
Okta MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Okta to LlamaIndex via MCP:
clear_user_sessions
Necessary when a device is compromised. Terminate all active login sessions for a specific user
deactivate_user
This instantly converts the user status to DEPROVISIONED, permanently revoking all active sessions, killing SAML/OIDC assertions, and blocking future application access. Use for emergency offboarding. Suspend and deprovision an Okta user account immediately
get_app
Includes critical security bindings, client secrets (for OIDC), X.509 cert chains, ACS URLs, and strict token-grant lifespans. View detailed SSO configuration for a specific application
get_group
View details of a specific Okta Group
get_user
Input takes the explicit Okta User ID string. Get detailed profile and state for a specific Okta user
list_apps
Identifies available sign-on integrations spanning raw OIDC, classical SAML 2.0, SCIM provisioning connections, and SWA (Secure Web Authentication) apps. List all applications integrated within the Okta dashboard
list_group_users
Essential when determining precisely who was automatically granted SCIM or cloud application licenses due to their directory membership mapping. List all users currently assigned to an Okta Group
list_groups
Group policies explicitly determine which users can authenticate into which bound SAML apps, making this endpoint critical for auditing permissions. List all security, app, and dynamic Okta Groups
list_system_logs
Contains every discrete sign-in attempt, MFA challenge result, configuration tweak, and malicious password spraying anomaly. Max 100 recent entries. Retrieve Recent Okta System and Audit log events
list_users
Used for organization-wide identity reporting. List all users configured in the Okta Universal Directory
Example Prompts for Okta in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Okta immediately.
"Retrieve the user profile for 'mark@example.com'."
"Clear all active sessions for user 'mike@example.com' immediately."
"List all active application mappings for the 'Contractors' group."
Troubleshooting Okta MCP Server with LlamaIndex
Common issues when connecting Okta to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOkta + LlamaIndex FAQ
Common questions about integrating Okta MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Okta with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Okta to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.