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How to Use the FusionAuth (Enterprise Identity & Auth) MCP in LlamaIndex

Index your complete identity infrastructure into LlamaIndex using the FusionAuth MCP Server.

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Connect FusionAuth (Enterprise Identity & Auth) MCP to LlamaIndex

Create your Vinkius account to connect FusionAuth (Enterprise Identity & Auth) 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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Query Your Identity Architecture

The FusionAuth MCP server pulls your entire user and application directory into LlamaIndex for semantic search. Your RAG applications can execute `list_applications` and `list_identity_providers`, converting the raw JSON outputs into embedded vectors. Instead of writing custom scripts to map out your auth infrastructure, you just ask your agent. It searches the indexed data to tell you exactly which external providers connect to which internal apps.

Index Configurations with LlamaIndex

Documenting identity server settings is a massive headache. Your system can run `get_system_configuration` and `get_tenant` to pull the exact live settings directly from the source. LlamaIndex stores these configurations as a unified knowledge base. When a developer asks about token expiration policies or password rules, the agent answers based on the actual live configuration, not an outdated wiki page.

Audit Group Memberships via MCP Server

Tracking who belongs where gets messy fast. You can set up a tool spec that runs `get_group` and `get_user` across your entire database, indexing the relationships between identities and permissions. When compliance asks for an access report, your agent queries the vector store. It cross-references the indexed data to give you a grounded, accurate list of every user with admin rights.

Setup guide

Set up FusionAuth (Enterprise Identity & Auth) 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 FusionAuth (Enterprise Identity & Auth) 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 FusionAuth (Enterprise Identity & Auth) tools.",
)
response = await agent.run("List recent FusionAuth (Enterprise Identity & Auth) data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FusionAuth. 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 FusionAuth (Enterprise Identity & Auth) MCP in LlamaIndex

Install `llama-index-tools-mcp`. Use `BasicMCPClient` to connect, wrap it with `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.
Yes. You can index the outputs of `get_user` or `patch_user` calls. This lets your RAG app answer questions about specific user configurations.
Absolutely. You can use the `allowed_tools` parameter to restrict your agent to read-only commands like `get_system_status` and `get_application`.
Set `include_resources=True` when configuring the tool spec. This forces the agent to treat the JSON responses from tools like `list_application_roles` as queryable context.
The V8 Isolate Sandbox handles your API keys and PII strictly in memory. Once the query finishes and LlamaIndex receives the data, the sandbox is immediately terminated.

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