Bring Attack Surface
to Pydantic AI
Learn how to connect UpGuard to Pydantic AI and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your UpGuard API Key (found in your account settings)
- Start managing your cybersecurity posture from Claude, Cursor, or any MCP client
Who is this for?
- CISO & Security Analysts — quickly check security scores and identify critical infrastructure risks via simple AI queries.
- Procurement & Compliance — verify vendor risk profiles and monitor third-party security posture directly from the workspace.
- IT Operations — track monitored domains and IPs to maintain a secure and up-to-date asset inventory.
Built-in capabilities (9)
Get details for a specific vendor
List all active risks for the account
List identity breaches
List monitored domains
List monitored IP addresses
List monitored SaaS applications
List users and their risk data
List active risks for a vendor
List all monitored vendors
Why Pydantic AI?
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.
- —
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
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Dependency injection system cleanly separates your UpGuard connection logic from agent behavior for testable, maintainable code
UpGuard in Pydantic AI
UpGuard and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect UpGuard to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for UpGuard in Pydantic AI
The UpGuard 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
UpGuard for Pydantic AI
Every tool call from Pydantic AI to the UpGuard MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I check the security score of a specific vendor?
Use the get_vendor tool and provide the Vendor ID. Your agent will retrieve the complete security profile, including the overall score and metadata for that vendor.
Can I see all active risks across my entire account?
Yes! Use the list_account_risks query. This retrieves all active security risks detected across your own digital infrastructure (BreachSight).
Is it possible to monitor data breaches affecting our employees?
Absolutely. Use the list_identity_breaches query to retrieve data on identity breaches affecting your workforce, helping you take proactive security measures.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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