UpGuard MCP Server for Pydantic AIGive Pydantic AI instant access to 9 tools to Get Vendor, List Account Risks, List Identity Breaches, and more

Name: UpGuard
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect UpGuard through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The UpGuard MCP Server for Pydantic AI is a standout in the Fort Knox category — giving your AI agent 9 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to UpGuard "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in UpGuard?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About UpGuard MCP Server

Connect your UpGuard account to any AI agent and simplify how you monitor your attack surface, assess third-party vendor risks, and protect your organization's digital assets through natural conversation.

Pydantic AI validates every UpGuard tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Vendor Risk Assessment — List and query all monitored vendors to retrieve their security scores and metadata.
Risk Monitoring — List active security risks detected across your own infrastructure (BreachSight) and your vendor network (VendorRisk).
Data Breach Tracking — Monitor identity breaches affecting your workforce and retrieve detailed breach reports.
Asset Visibility — List monitored domains, IP ranges, and SaaS applications to understand your digital footprint.
Employee Security — Audit user-related risk data and identity theft exposures directly via AI commands.

The UpGuard MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 UpGuard tools available for Pydantic AI

When Pydantic AI connects to UpGuard through Vinkius, your AI agent gets direct access to every tool listed below — spanning attack-surface, vendor-risk, cybersecurity, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get vendor on UpGuard

Get details for a specific vendor

list

List account risks on UpGuard

List all active risks for the account

list

List identity breaches on UpGuard

List identity breaches

list

List monitored domains on UpGuard

List monitored domains

list

List monitored ips on UpGuard

List monitored IP addresses

list

List saas apps on UpGuard

List monitored SaaS applications

list

List user risks on UpGuard

List users and their risk data

list

List vendor risks on UpGuard

List active risks for a vendor

list

List vendors on UpGuard

List all monitored vendors

Connect UpGuard to Pydantic AI via MCP

Follow these steps to wire UpGuard into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from UpGuard with type-safe schemas

Why Use Pydantic AI with the UpGuard MCP Server

Pydantic AI provides unique advantages when paired with UpGuard through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your UpGuard integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your UpGuard connection logic from agent behavior for testable, maintainable code

UpGuard + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the UpGuard MCP Server delivers measurable value.

Type-safe data pipelines: query UpGuard with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple UpGuard tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query UpGuard and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock UpGuard responses and write comprehensive agent tests

Example Prompts for UpGuard in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with UpGuard immediately.

"List all monitored vendors and their security scores."

"Show me the active risks for the vendor 'Microsoft'."

"Are there any recent identity breaches affecting our domain?"

Troubleshooting UpGuard MCP Server with Pydantic AI

Common issues when connecting UpGuard to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

UpGuard + Pydantic AI FAQ

Common questions about integrating UpGuard MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your UpGuard MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.