How to Use the WorkOS MCP in LlamaIndex

Q: Can I query historical configurations using WorkOS and LlamaIndex?

Yes. By indexing getauditlogevents or previous configuration dumps, you can ask questions like 'What was the SSO status last month?' and get an answer grounded in actual data.

Ground your RAG applications in WorkOS data using LlamaIndex to index API results.

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Connect WorkOS MCP to LlamaIndex

Create your Vinkius account to connect WorkOS to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup WorkOS with LlamaIndex

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Indexing User and Group Data

The developer runs `list_directory_users` to gather account records, then uses the tool output as a source document for indexing. This means your knowledge base contains actual user IDs and names. LlamaIndex treats this API data just like a PDF, allowing semantic search against current directory structures.

Querying Organization Structure

Instead of needing exact keywords, you can ask: 'What's the status of our primary WorkOS organization?' The system queries `get_organization_details` and indexes that response. This grounds your answer in real API data. It’s how RAG applications move beyond basic document search into live infrastructure querying.

Semantic Search on Audit Logs

If you need to know 'Why was the directory sync paused last week?' You query `get_audit_log_events`. LlamaIndex indexes the event descriptions, allowing you to retrieve answers based on meaning, not just keywords. This makes historical troubleshooting effortless without manual log parsing.

Setup guide

Set up WorkOS MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all WorkOS MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to WorkOS tools.",
)
response = await agent.run("List recent WorkOS data")

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Common questions about WorkOS MCP in LlamaIndex

LlamaIndex consumes the structured data from MCP tools, treating them as sources. It transforms these API results into vector embeddings, making them part of a searchable knowledge index.

Yes. By indexing `get_audit_log_events` or previous configuration dumps, you can ask questions like 'What was the SSO status last month?' and get an answer grounded in actual data.

The server manages organizational setup, directory synchronization (Okta/Azure AD), and detailed audit logging. These are all sources that can be indexed for deep semantic search.

You combine the MCP tool output with other resources—like internal documentation or databases—into one unified index. This lets you query across identity services and general knowledge simultaneously.

It touches directory user records, organization metadata, and SSO connection details. All of this structured information becomes searchable vectors in your index.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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