How to Use the Descope (Auth Platform) MCP in LlamaIndex
Index Descope (Auth Platform) configurations and search user directories directly within LlamaIndex RAG pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Descope (Auth Platform) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Descope (Auth Platform) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
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