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How to Use the Descope (Auth Platform) MCP in LlamaIndex

Index Descope (Auth Platform) configurations and search user directories directly within LlamaIndex RAG pipelines.

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LlamaIndex

Connect Descope (Auth Platform) MCP to LlamaIndex

Create your Vinkius account to connect Descope (Auth Platform) 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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Search Descope (Auth Platform) users via LlamaIndex

LlamaIndex agents execute `mgmt_search_users` to extract profile details and load them into your vector store. This MCP Server lets you convert raw user metadata into searchable knowledge. The agent queries the index using semantic search to find specific user roles. You avoid manual database queries by letting the agent retrieve and structure user records.

Index tenant lists for LlamaIndex query engines

Your LlamaIndex agent runs `mgmt_list_tenants` to extract active organizational environments. The tool feeds this data directly into your knowledge base for real-time analysis. Ground your agent's answers in actual workspace configurations rather than training data. You query tenant permissions and get answers based on current Descope states.

Verify keys within LlamaIndex agent workflows

Grabbing public keys is done by calling `auth_get_keys` inside your active LlamaIndex run. The agent references these keys to validate incoming session requests. If validation fails, the agent triggers `auth_exchange_access_key` to refresh the session JWT. This keeps your RAG application authenticated without manual developer intervention.

Setup guide

Set up Descope (Auth Platform) MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Descope (Auth Platform) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Descope (Auth Platform) tools.",
)
response = await agent.run("List recent Descope (Auth Platform) data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Descope. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Descope (Auth Platform) MCP in LlamaIndex

Install llama-index-tools-mcp first. Instantiate BasicMCPClient with the Vinkius URL, convert it to a tool list, and pass it to your FunctionAgent.
Yes, your agent uses mgmt_get_user to pull user profiles. It then indexes this data so your RAG pipeline can reference user permissions.
Run mgmt_list_tenants within your ingestion pipeline. The agent writes the output to your vector store, making tenant names searchable.
Yes, setting include_resources=True allows the MCP client to fetch current authentication state. This keeps your vector store synchronized with live user accounts.
Vinkius runs the server in an ephemeral V8 sandbox that wipes memory after execution. No access keys or session tokens are written to disk during translation.

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