How to Use the Logto (Auth Platform) MCP in LlamaIndex
Index your Logto tenant schemas and user roles into LlamaIndex to query auth states with zero hallucinations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Logto (Auth Platform) MCP to LlamaIndex
Create your Vinkius account to connect Logto (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.
Index Logto Tenant Data for RAG
This MCP Server lets you pull live user directories and API resources directly into your vector store. LlamaIndex queries `list_users` and `list_resources` to build an active knowledge base of your authentication setup. This lets your agent answer complex questions about who has access to what without querying the raw API every time. The tool outputs from `list_roles` are indexed, making semantic search over user permissions fast and accurate.
Ground Auth Queries in Live API Data
Stop guessing which organization a user belongs to. LlamaIndex uses `get_user` and `list_organization_users` to retrieve exact, real-time facts before answering user management questions. By coupling the live MCP Server with a query engine, the agent avoids hallucinating user states. It verifies current profiles using `get_my_account` before making changes.
Build Searchable Audits of Logto (Auth Platform)
Create a historical index of your security configurations. LlamaIndex can run `list_mfa_verifications` across users and store the results for compliance reporting. This turns static auth logs into an interactive search engine. You can ask your agent which users lack MFA, and it will search the indexed outputs of `list_mfa_verifications` to give you an immediate list.
Set up Logto (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 Logto (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 Logto (Auth Platform) tools.",
)
response = await agent.run("List recent Logto (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 Logto. 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 Logto (Auth Platform) MCP in LlamaIndex
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