Bring Api Security
to CrewAI
Create your Vinkius account to connect Levo.ai (API Security & Observability) to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Levo.ai (API Security & Observability) MCP Server?
Connect your Levo.ai account to any AI agent and take full control of your API security posture and runtime observability through natural conversation.
What you can do
- Endpoint Orchestration — List all auto-discovered API endpoints (REST, GraphQL, gRPC) and identify undocumented shadow or zombie APIs directly from your agent
- Sensitive Data Audit — Query categorizations for endpoints exposing regulated data flows including PII (names, emails), PHI (medical), and financial boundaries
- Vulnerability Management — Monitor active API security vulnerabilities validating against OWASP boundaries, including BOLA instances and broken authentication
- OpenAPI Generation — Export live, precisely accurate OpenAPI specifications derived immediately from actual observed traffic rather than static manual definitions
- Behavioral Monitoring — Analyze runtime API traffic patterns and anomalous observations detected by live sensors indicating unexpected schema drift
- Diagnostic Investigation — Retrieve detailed diagnostic exploitation evidence for specific vulnerabilities to understand root causes and remediation steps
How it works
- Subscribe to this server
- Enter your Levo.ai API Token and Organization ID
- Start monitoring your API security from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Security Engineers — hunt for API threats and monitor sensitive data exposure through natural conversation without manual log filtering
- Backend Developers — audit API endpoint schemas and verify build-time security results to ensure only secure APIs reach production
- Compliance Officers — automate the auditing of regulated data flows and report on global API security posture across different environments
Built-in capabilities (10)
Export a live auto-generated OpenAPI payload specification for an application
Get deep detailed schema structure for a specific discovered API endpoint
Get details of a specific runtime anomalous observation
Get detailed diagnostic exploitation evidence for a specific API vulnerability
List all API applications (services) tracked by Levo.ai
Identifies REST, GraphQL, gRPC, and SOAP endpoints — including undocumented shadow and zombie APIs mapped dynamically. List all discovered API endpoints in the Levo.ai catalog
List deployment boundaries environments monitored by Levo active sensors
List runtime API behavior observations detected by Levo sensors
List categorized API endpoints exposing sensitive or regulated data flows
List active API security vulnerabilities discovered across all applications
Why CrewAI?
When paired with CrewAI, Levo.ai (API Security & Observability) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Levo.ai (API Security & Observability) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Levo.ai (API Security & Observability) in CrewAI
Why run Levo.ai (API Security & Observability) with Vinkius?
The Levo.ai (API Security & Observability) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Levo.ai (API Security & Observability) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Levo.ai (API Security & Observability) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Levo.ai (API Security & Observability) to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Levo.ai (API Security & Observability) for CrewAI
Every request between CrewAI and Levo.ai (API Security & Observability) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can Levo.ai identify undocumented APIs in my environment?
Yes. Use the list_catalog_endpoints tool to see the full inventory auto-discovered by Levo sensors. Your agent can highlight 'Shadow' or 'Zombie' APIs that exist in your infrastructure but are missing from official documentation.
How do I check which endpoints are exposing PII or sensitive data?
The list_sensitive_data tool allows your agent to query endpoints categorized by regulated data flows. You'll see which paths are transmitting names, emails, SSNs, or financial data, helping you prioritize compliance audits.
Can my agent generate a live OpenAPI specification for an existing service?
Absolutely. Use the export_openapi_spec tool with a specific App ID. Your agent will retrieve a specification derived from actual observed traffic, providing a more accurate reflection of your live API than static files.
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.
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.
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