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How to Use the Vanta MCP in LlamaIndex

Build RAG applications with Vanta data using LlamaIndex.

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LlamaIndex

Connect Vanta MCP to LlamaIndex

Create your Vinkius account to connect Vanta 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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Compliance Status Search

Don't just get a score; index the details. Call `vanta_compliance_status` to pull the overall compliance posture dashboard, including pass rates for SOC 2 and GDPR. LlamaIndex then indexes this result, allowing you to query past sessions or configurations about 'why the HIPAA pass rate dropped last month' for grounded answers.

Device Inventory Query

Need to know if a specific device meets standards? Run `vanta_list_computers` and index the resulting data—device name, OS version, and encryption status. You can then ask your agent complex questions like 'Which laptops owned by Engineering lack antivirus?'

Integration Health Reporting

Use `vanta_list_integrations` to list all connected services and their sync statuses, along with coverage metrics. Indexing this data lets you query historical integration performance, answering 'When was the last time our identity provider synced successfully?'

Setup guide

Set up Vanta 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 Vanta 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 Vanta tools.",
)
response = await agent.run("List recent Vanta data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vanta. 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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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Vanta MCP in LlamaIndex

You use `vanta_list_policies` to get a list of all security policies, including the version number and the percentage of employees who have acknowledged them. Indexing this makes it easy to search for 'which policies are overdue for acknowledgement?'.
The `vanta_list_evidence_requests` tool pulls outstanding requests. By indexing this, your agent grounds answers about 'who needs to submit screenshots' or if the team is ready for an upcoming review.
Yes, call `vanta_list_people`. This gives you status on training completion, device compliance, and access reviews. You can then search historical records to find patterns in overdue training across departments.
The `vanta_list_risks` tool provides the risk register, detailing impact scores, likelihoods, and assigned controls. Your agent can index this data to answer questions like 'What is our highest-scored risk in Q2?'
The `vanta_list_vulnerabilities` tool lists detected security flaws. By indexing this, you can ask questions about specific CVE IDs, their affected resources, and the mandated SLA remediation deadlines.

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