Bring Metadata Management
to CrewAI
Create your Vinkius account to connect Atlan to CrewAI and start using all 6 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 Atlan MCP Server?
Connect your Atlan workspace to any AI agent and empower it to become a master data steward. By linking the leading Active Metadata Management platform with agents, you gain conversational governance and instant data cataloging capabilities on demand.
What you can do
- Asset Search — Query your entire connected data ecosystem (tables, dashboards, columns) via natural text to discover lineage and trusted data instantly
- Business Glossaries — Retrieve organizational glossaries containing verified business terms, acronyms, and trusted definitions used by your enterprise
- Classifications & Policies — List active data classifications (like PII or Confidential tags) and configured sharing purposes (data policies) across the estate
- Users & Personas — Inspect registered users and configured access control profiles (Personas) aligned to specific business roles
How it works
- Subscribe to this secure MCP Server
- Provide your Atlan API URL and API Key
- Start managing data governance naturally from Claude, Cursor, or any compatible AI client
Your AI agent gains deep context about what data means, where it lives, and who owns it.
Who is this for?
- Data Stewards — audit metadata completeness, glossaries, and PII tags systematically through conversation
- Data Analysts — quickly discover the right verified tables and dashboards before starting a project
- Enterprise AI Teams — ground other LLMs and agents in real metadata context by pulling exact definitions of business KPIs
- Security & Governance — inspect broad access personas and data-sharing purposes seamlessly
Built-in capabilities (6)
) configured in Atlan for data governance purposes. List all classifications defined in Atlan
List all business glossaries in Atlan
List all Atlan Personas
List all Atlan Purposes
List all users in the Atlan workspace
Search for data assets in the Atlan Data Catalog
Why CrewAI?
When paired with CrewAI, Atlan becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Atlan 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
- —
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
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Atlan in CrewAI
Why run Atlan with Vinkius?
The Atlan 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 6 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 Atlan using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Atlan and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Atlan 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
Atlan for CrewAI
Every request between CrewAI and Atlan 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 my AI search for a specific dashboard or data table by keyword?
Yes. Ask the agent to perform an asset search using a natural phrase like 'Q3 revenue report' or 'customer addresses table'. The agent triggers Atlan's semantic asset search, returning linked objects across all connected BI and database sources.
Are custom Atlan Classifications and Tags exposed to the AI?
Yes. The agent can list all organizational classifications configured in Atlan (e.g., Sensitive, Restricted, CCPA). This lets the AI contextualize whether the assets it discovers are safe to be shared globally or subject to governance restrictions.
Can the agent modify or write back metadata to Atlan?
No. This MCP integration focuses strictly on safe discovery and organizational governance retrieval (queries). It guarantees your metadata catalogues remain pristine, acting purely as an active lookup augmentation tool for your agent.
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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