Bring Data Governance
to LlamaIndex
Create your Vinkius account to connect Collibra to LlamaIndex 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 Collibra MCP Server?
Connect your AI to Collibra, the data intelligence platform that helps organizations find, understand, and trust their data.
What you can do
- Asset Search — Search for data assets by name, type, or domain and retrieve their full metadata.
- Community Browsing — List all communities and domains to navigate your data governance structure.
- Asset Details — Inspect any asset's attributes, responsibilities, and relationships.
How it works
- Add the Collibra integration to your AI toolset.
- Provide your instance URL, username, and password.
- Browse your data catalog via natural language.
Who is this for?
- Data Stewards — Find and inspect assets without navigating the full Collibra UI.
- Data Engineers — Look up table/column definitions and ownership from chat.
- Compliance Teams — Verify data classifications and governance policies quickly.
Built-in capabilities (10)
Create a new asset in Collibra
Retrieve detailed information about a specific asset
Retrieve detailed information about a specific community
Retrieve a list of available asset types
Retrieve a list of assets in Collibra
Retrieve a list of communities in Collibra
Retrieve a list of available domain types
Retrieve a list of domains in Collibra
Retrieve a list of available asset statuses
Search for assets by name
Why LlamaIndex?
LlamaIndex agents combine Collibra tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Collibra tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Collibra tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Collibra, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Collibra tools were called, what data was returned, and how it influenced the final answer
Collibra in LlamaIndex
Why run Collibra with Vinkius?
The Collibra 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 Collibra using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Collibra and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Collibra to LlamaIndex 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
Collibra for LlamaIndex
Every request between LlamaIndex and Collibra 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
How do I authenticate with Collibra?
This integration uses Basic Authentication with your Collibra instance URL, username, and password.
What is an asset in Collibra?
An asset is any cataloged object: a business term, a database table, a column, a report, or a data policy, among others.
Can I create new communities or domains?
The current version focuses on browsing metadata and creating assets. Community and domain creation may be added in future updates.
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 Collibra 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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