How to Use the BoxyHQ (Enterprise SSO) MCP in LlamaIndex
Index your identity data in LlamaIndex by grounding your RAG pipelines with BoxyHQ (Enterprise SSO) tools.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BoxyHQ (Enterprise SSO) MCP to LlamaIndex
Create your Vinkius account to connect BoxyHQ (Enterprise SSO) 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.
Build a searchable identity index
Call `get_directory_users` or `get_directory_groups` to pull live tenant data. LlamaIndex ingests these outputs, letting you query your directory state using natural language. This turns transient API responses into a persistent knowledge base. You can ask your agent about specific user counts or group memberships without hitting the API every single time.
Ground your agent in real SSO data
Use `get_connections` to retrieve active SAML and OIDC setups. The agent uses this data to answer questions about your current configuration status. By indexing this metadata, your RAG application understands your identity landscape. You get answers based on current system state, not outdated documentation.
Manage SCIM connections via RAG
Execute `create_directory` to initialize new SCIM syncs through your agent. LlamaIndex tracks the success of these operations, building a history you can query. It allows for audit-style questioning. You can ask your agent to show you when a specific directory connection was created or modified.
Set up BoxyHQ (Enterprise SSO) 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 BoxyHQ (Enterprise SSO) 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 BoxyHQ (Enterprise SSO) tools.",
)
response = await agent.run("List recent BoxyHQ (Enterprise SSO) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BoxyHQ. 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.
Why Choose Vinkius
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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lower AI costs
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Common questions about BoxyHQ (Enterprise SSO) MCP in LlamaIndex
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