How to Use the Vanta MCP in Pydantic AI

Q: How does Vanta help with compliance readiness using Pydantic AI?

The vantacompliancestatus tool gives the pass rate and audit score. Since your agent uses Pydantic, it guarantees that the output structure is correct—no guessing games about which metrics are included.

Q: What data does Vanta touch regarding device compliance using Pydantic AI?

The vantalistcomputers tool handles endpoint inventory, listing OS version, encryption status, and firewall settings. The typed nature of the response ensures you trust every bit of that machine data.

Q: Can I check outstanding evidence requests using Vanta with Pydantic AI?

The vantalistevidencerequests tool tracks who owes what and when. Using Pydantic means your agent handles the due dates, owners, and linked controls in a predictable, validated format.

Q: What about policy management using Vanta with Pydantic AI?

The vantalistpolicies tool gives you approval status, version numbers, and employee acknowledgment rates. This structured output lets your agent build accurate reports on governance adherence.

Q: Does Vanta help with data privacy concerns using Pydantic AI?

The server exposes vantalistpeople, containing personnel data like security training status and device compliance. The Pydantic validation keeps this sensitive information structured and reliable for your agent.

Validate and manage Vanta's complex security data with Pydantic AI for guaranteed correctness.

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Connect Vanta MCP to Pydantic AI

Create your Vinkius account to connect Vanta to Pydantic AI 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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Setup Vanta with Pydantic AI

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Get a detailed compliance status check.

The `vanta_compliance_status` tool provides the overall pass rate, breaking down performance across SOC 2, HIPAA, and GDPR. It also flags critical alerts that need immediate human attention. Because your agent validates data with Pydantic, you know exactly what metrics it's getting—no corrupted or unexpected fields.

Audit employee personnel records.

Run `vanta_list_people` to get a clean record of every staff member. You can check their training status, device compliance (encrypted/antivirus), and if they've completed access reviews. This ensures your agent only processes verifiable data points for HR reporting.

Review specific failing security tests.

When you use `vanta_get_test`, the tool gives detailed evidence on a single test failure. You get linked controls, the exact non-compliant resources, and remediation guidance. It's perfect for when your agent needs to drill down into one specific issue.

Setup guide

Set up Vanta MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "vanta-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Vanta tools.",
)

result = await agent.run("List recent Vanta transactions")
print(result.output)

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Common questions about Vanta MCP in Pydantic AI

The `vanta_compliance_status` tool gives the pass rate and audit score. Since your agent uses Pydantic, it guarantees that the output structure is correct—no guessing games about which metrics are included.

The `vanta_list_computers` tool handles endpoint inventory, listing OS version, encryption status, and firewall settings. The typed nature of the response ensures you trust every bit of that machine data.

The `vanta_list_evidence_requests` tool tracks who owes what and when. Using Pydantic means your agent handles the due dates, owners, and linked controls in a predictable, validated format.

The `vanta_list_policies` tool gives you approval status, version numbers, and employee acknowledgment rates. This structured output lets your agent build accurate reports on governance adherence.

The server exposes `vanta_list_people`, containing personnel data like security training status and device compliance. The Pydantic validation keeps this sensitive information structured and reliable for your agent.

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