Compatible with every major AI agent and IDE
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 LlamaIndex?
LlamaIndex agents combine UpGuard tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine UpGuard tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain UpGuard tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query UpGuard, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what UpGuard tools were called, what data was returned, and how it influenced the final answer
UpGuard in LlamaIndex
UpGuard and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect UpGuard to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query UpGuard tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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