Bring Openli
to CrewAI
Learn how to connect Openli to CrewAI and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Openli MCP Server?
Connect your Openli account to any AI agent and take full control of your privacy orchestration and legal compliance through natural conversation. Openli provides a comprehensive platform for managing cookie consent, processing Data Subject Access Requests (DSARs), and maintaining an automated audit trail for your legal agreements.
What you can do
- Consent & Agreement Orchestration — List all published legal agreements programmatically and retrieve detailed version metadata to ensure your terms are always synchronized.
- Evidence & Audit Intelligence — Record and save user consent evidence directly from the AI interface to maintain a high-fidelity, legally binding audit trail.
- DSAR Lifecycle Management — Access and monitor incoming Data Subject Access Requests via natural language to drive better response times and regulatory compliance.
- Vendor & Data Processor Control — List and oversee your organization's third-party vendors and data processors using simple AI commands.
- Operational Monitoring — Track system responses and manage privacy audit logs to ensure your compliance workflow is always optimized.
How it works
1. Subscribe to this server
2. Enter your Openli API Key from your dashboard settings
3. Start managing your privacy hub from Claude, Cursor, or any MCP-compatible client
No more manual spreadsheet tracking for user consent. Your AI acts as a dedicated privacy officer or legal operations assistant.
Who is this for?
- Legal & Compliance Teams — quickly retrieve agreement statuses and monitor audit logs without switching apps.
- Data Protection Officers (DPOs) — automate the retrieval of DSAR metadata and track vendor compliance via natural conversation.
- Product Managers — streamline the recording of consent evidence directly within the chat interface.
Built-in capabilities (13)
Verify connectivity
Create an agreement
Create a DSAR
Get agreement details
Get consent details
Get DSAR details
Get vendor details
List agreements
List audit logs
List consents
List DSARs
List vendors
Save consent
Why CrewAI?
When paired with CrewAI, Openli becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Openli tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
Openli in CrewAI
Openli and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Openli to CrewAI 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 | 3,400+ 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 Openli in CrewAI
The Openli 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 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI 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
Openli for CrewAI
Every tool call from CrewAI to the Openli MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the latest version of my Privacy Policy?
Yes! Use the list_agreements tool. Your agent will respond with complete metadata for all published legal documents, including their unique public keys and last update timestamps in seconds.
How do I find my Openli API Key?
Log in to your Openli account, navigate to Settings > API, and you will find your unique secret API key there.
Can I use the AI to record consent for a new user?
Absolutely. Use the save_consent tool. Provide the user's email and the public key of the agreement they accepted, and the agent will securely log the evidence in your Openli audit trail.
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.