Alation MCP. Audit Data Lineage and Metadata on Demand
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Alation provides deep data catalog orchestration right through your agent. You can search for specific data assets, audit complex metadata like schemas and tags, trace data lineage from source to dashboard, and even run saved SQL queries without leaving your client.
It’s enterprise-grade data discovery on demand.
What your AI agents can do
Get lineage
Shows you the complete flow of a data asset, tracking its source and all downstream uses.
Get object metadata
Pulls specific technical details about any listed object in your catalog.
Get query results
Fetches the cached output from a previously run SQL query for immediate viewing.
Find tables, schemas, and data sources across your entire catalog using keywords or filters.
Get deep details on any object, including technical definitions, owners, tags, and custom governance fields.
Map the path of a dataset to see where it came from and what other reports use it for.
View all available schemas within a data source and list every table inside them.
Access your saved SQL queries and pull back cached results without writing the code yourself.
Ask AI about this MCP
Supported MCP Clients
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Alation: 10 Tools for Data Governance
These ten tools let your agent read the entire Alation catalog structure, allowing you to search, inspect metadata, track data flows, and audit governance fields automatically.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Alation on Vinkius019d754bget lineage
Shows you the complete flow of a data asset, tracking its source and all downstream uses.
019d754bget object metadata
Pulls specific technical details about any listed object in your catalog.
019d754bget query results
Fetches the cached output from a previously run SQL query for immediate viewing.
019d754blist columns
Provides a list of all column names within a specified table.
019d754blist custom fields
Lists and audits the specific governance fields attached to your catalog objects.
019d754blist data sources
Gives an overview of all major data sources connected to the catalog instance.
019d754blist saved queries
Retrieves a list of SQL queries that have been saved and stored in the system.
019d754blist schemas
Lists all available schemas contained within a specific data source.
019d754blist tables
Shows every table that exists inside a chosen schema.
019d754bsearch catalog
Searches the entire catalog using keywords or advanced filters to locate assets.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Alation, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Alation. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Metadata Maze
Right now, finding data isn't a single step; it’s a whole process. You start by clicking on the general data source, then drilling down into schemas. If you need to know if a table is clean or who owns it, you have to switch tabs to find governance details and manually check every field definition.
With this MCP, that manual navigation disappears. Your agent handles all those steps in one conversation. You ask for the metadata audit, and it pulls everything: schema definitions, owners, tags, and lineage—all without you ever touching a dropdown menu.
Alation MCP: Data Asset Management
You no longer have to run separate checks. You can ask the agent to 'Show me the schema for this table and its lineage.' This single request triggers multiple tool calls, combining `list_columns`, `get_object_metadata`, and `get_lineage` into one cohesive answer.
It's a massive shift. Instead of managing ten different tools across five tabs, you manage one conversation that uses all the data governance capabilities available.
What you can do with this MCP connector
Need to find a table but aren't sure what it's called? This MCP lets you talk to your catalog like talking to a teammate. Instead of sifting through dozens of dashboards, you ask your agent directly—for instance, 'Show me all metrics related to customer churn.' The system handles the search across schemas and data sources, pulling up exactly what you need.
You can audit the details of any asset, checking not just the column names but also who owns it or if governance fields are filled out correctly. When you’re done investigating metadata, you can even run saved queries and get the results instantly. Because this entire process is managed through your AI client's natural conversation flow, Vinkius makes accessing all these functions simple.
You just ask, and your agent handles the data governance work for you.
019d754b-934c-72da-837c-f7e53c9a9d7c 
How Alation MCP Works
- 1 Subscribe to this MCP, then provide your Alation Instance URL and API Access Token.
- 2 Connect it to any compatible client like Cursor or Claude. Your agent now has access to the catalog's data layer.
- 3 Ask a natural language question—like 'What does the Orders_Main table feed into?'—and the MCP executes the necessary tool calls.
The bottom line is, you talk to your data governance tools through chat, and they execute the complex lookups for you.
Who Is Alation MCP For?
This connector is built for technical roles that live in a world of interconnected databases. It helps anyone who gets bogged down clicking through dozen dashboards just to understand where a single column's data originated.
Needs to trace the full path of a column from raw source systems all the way up to a final dashboard to troubleshoot an upstream dependency.
Wants to quickly find tables containing specific business metrics, like 'Q3 Revenue,' without knowing which database owns the data.
Must audit metadata completion and check if required custom governance fields are filled out for every new asset in the catalog.
What Changes When You Connect
- Stop hunting for data. Instead of guessing where a metric lives, you can use
search_catalogto quickly find relevant tables or schemas across the entire catalog. - You get full visibility into data paths by calling
get_lineage. This tells you exactly which dashboards depend on a table before you accidentally break something. - When troubleshooting, don't manually check column definitions. Use
list_columnsto immediately see every field in a table and its associated metadata. - Avoid re-running complex reports. By using the
get_query_resultstool, your agent pulls cached execution results from saved queries, saving time and compute resources. - Maintain governance standards effortlessly. You can run
list_custom_fieldsto audit compliance across all objects and ensure required metadata is always attached.
Real-World Use Cases
Pinpointing a broken report metric
A BI Lead notices 'Total Active Users' suddenly shows zero. They ask the agent, 'Show me the lineage for the Total Active Users metric.' The MCP immediately returns the data path, pointing them to an upstream schema that hasn't been updated since last month.
Onboarding a new Data Analyst
A new analyst needs access to sales figures. They ask the agent to 'Search for all schemas containing quarterly revenue.' The MCP uses search_catalog and returns three potential data sources, allowing the analyst to quickly pinpoint the correct source.
Auditing compliance before a report launch
A Data Governor needs proof that PII fields are tagged. They tell the agent to 'List all custom governance fields for the customer table.' The MCP runs list_custom_fields and provides an immediate audit log, confirming coverage.
Reproducing a historical report
An engineer needs last quarter's sales numbers. Instead of asking a teammate to rerun the query, they ask the agent to 'Get results for the Q3 Sales Report.' The MCP uses get_query_results and presents the cached data immediately.
The Tradeoffs
Manually navigating schemas
You open your catalog, click on Data Sources > Schemas > Tables. You spend 15 minutes clicking through nested menus just to find the right table.
→
Instead, ask your agent to 'List all tables in the Production schema.' The MCP uses list_tables and gives you a direct list without any clicks or navigation.
Guessing asset names
You know data exists but don't remember if it lives in 'Billing' or 'Finance'. You waste time checking multiple database connections.
→
Ask the agent to 'Search for all assets related to billing.' The MCP uses search_catalog and filters results by keywords, showing everything you need in one pass.
Copying query logic
A teammate runs a complex query, gives you the raw SQL text, and you have to paste it into your own client environment just to see the result.
→
If that query is saved, ask the agent to 'List saved queries.' The MCP uses list_saved_queries and lets you retrieve the cached results via get_query_results.
When It Fits, When It Doesn't
Use this MCP if your job requires deep data discovery—if you spend more time figuring out where a piece of data lives than actually analyzing it. This is critical for governance or complex troubleshooting. Don't use this if you just need to run a single, known query; in that case, a simple SQL execution tool will suffice. However, if your process involves multiple steps—like finding the source (search_catalog), checking its structure (list_columns), and then confirming its usage (get_lineage)—this MCP is mandatory. It connects those dots for you.
Common Questions About Alation MCP
How does Alation MCP help with finding tables? +
The search_catalog tool lets you search using keywords across schemas and data sources. This is much faster than manually browsing the list of available schemas or tables.
Can I check a table's structure with Alation MCP? +
Yes, running list_columns shows you every column name in a specific table. You can pair this with get_object_metadata to get ownership details for those columns.
What is the purpose of list_schemas? +
The list_schemas tool shows you all organizational containers inside a data source. This helps you scope your search before trying to find specific tables using list_tables.
How do I get query results with Alation MCP? +
You use the get_query_results tool. If the report was run and cached previously, your agent fetches those results instantly for you without needing to re-run the SQL.
When I use `get_lineage`, what kind of data flow information do I get? +
It shows the complete journey of a table's data. You see which upstream sources feed into it, and exactly which downstream dashboards or reports rely on its output.
How does running `list_custom_fields` help with compliance? +
It reveals all the governance tags attached to your assets. This lets you check for mandatory fields like data ownership or classification required by policy.
What permissions do I need to run `get_object_metadata` successfully? +
Your API client needs read-only access credentials for the catalog instance. This ensures your agent can pull details without risking any data changes.
If I use `list_data_sources`, what scope of information is returned? +
It provides a map of every system connected to the catalog. You get an overview of all potential endpoints you can query or find metadata on.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.