UpGuard MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to UpGuard through Vinkius, pass the Edge URL in the `mcps` parameter and every UpGuard tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The UpGuard MCP Server for CrewAI 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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="UpGuard Specialist",
    goal="Help users interact with UpGuard effectively",
    backstory=(
        "You are an expert at leveraging UpGuard tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in UpGuard "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, UpGuard becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call UpGuard tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from UpGuard

Why Use CrewAI with the UpGuard MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with UpGuard through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

UpGuard + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries UpGuard for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries UpGuard, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain UpGuard tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries UpGuard against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for UpGuard in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

UpGuard + CrewAI FAQ

Common questions about integrating UpGuard MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.