Xata (Serverless DB) MCP for AI. Manage databases, projects, and branches via chat.
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Xata (Serverless DB) MCP lets your AI agent manage entire database infrastructures via natural conversation. List organizations, create new projects, run complex SQL queries, or monitor branch health—all without ever leaving your chat window.
It's full lifecycle control for relational data.
What your AI can do
Create branch
Makes an exact copy of your database data into a new branch.
Create organization
Establishes an entirely new, top-level container for all your data and projects.
Create project
Sets up a dedicated workspace to hold related databases and services.
List organizations, create new ones, invite members, or delete team structures.
Create new development containers, list existing projects, or update project details across regions.
Instantly create a branch copy of your data, delete old branches, or get the current state of any specific branch.
Execute single or multiple transactions against your live database branches using raw SQL commands.
Retrieve detailed metrics and current resource limits for both projects and individual data branches.
Ask an AI about this
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Xata (Serverless DB): 30 Database Management Tools
These tools allow your agent to perform every action required for database management, from creating new organizations to running complex SQL transactions.
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 Xata (Serverless DB) on VinkiusCreate Branch
Makes an exact copy of your database data into a new branch.
Create Organization
Establishes an entirely new, top-level container for all your data and projects.
Create Project
Sets up a dedicated workspace to hold related databases and services.
Delete Branch
Permanently removes an unused data branch from your project.
Delete Invitation
Revokes a specific person's access invitation to the organization.
Request Organization Deletion
Initiates a formal request to delete the entire organization structure.
Delete Project
Completely removes an entire project and all its associated resources.
Execute Sql Batch
Processes multiple related SQL statements in one secure transaction block.
Execute Sql
Runs a single, targeted SQL query against specified database data.
Get Branch Credentials
Shows the current credentials needed to access a specific database branch.
Get Branch Metrics
Pulls usage statistics, helping you monitor how much data is on a given branch.
Get Branch
Retrieves specific details about a single data branch, like its name and status.
Get Organization
Retrieves detailed information about the entire organization container.
Get Project Limits
Shows the resource boundaries and usage limits set for your projects.
Get Project
Fetches key details about a specific project workspace.
List Branches
Generates a list of all data branches contained within a project.
List Images
Shows available system images that can be used for deployment or setup.
List Instance Types
Lists the different compute instance types available in a given region.
List Invitations
Shows all pending or active invitations sent to organization members.
List Members
Retrieves a directory of every member currently part of the organization.
List Organizations
Lists all top-level organizations you have access to manage.
List Projects
Shows every project container housed within the organization.
List Regions
Provides a list of all geographic regions where you can deploy your data.
Remove Member
Removes an existing member from the organization roster.
Resend Invitation
Resends an invitation link to a member who might have missed the original invite.
Rotate Branch Credentials
Generates new access credentials for a specific database branch, improving security.
Send Invitation
Sends an invitation to a specific user to join the current organization.
Update Branch
Modifies metadata or settings for an existing data branch.
Update Organization
Makes changes to the core details of the organization container itself.
Update Project
Updates metadata or settings for a specific project workspace.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Xata (Serverless DB) integration is available immediately — no restart needed.
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 Xata (Serverless DB), then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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 Xata. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 connection provides 30 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The old way of managing databases feels like running a race through different software dashboards.
Today, if you need to update an organization's name or check its membership list, you open the cloud console. You navigate to the 'Organization Settings' tab. If you want project details, you close that and switch tabs to the 'Projects' dashboard. To run a test query, you might have to copy the connection string into your IDE just for a quick look. It’s slow, it involves constant copy-pasting, and you spend more time switching apps than doing work.
With this MCP, the AI does all that heavy lifting behind the scenes. You tell your agent: 'Update the organization name to X, and then list the top five members.' The agent handles the sequence of API calls, pulling data from `get_organization` and running `list_members`, giving you a single, clean answer. Your workflow stays entirely within chat.
The Xata (Serverless DB) MCP gives you full control over your infrastructure.
You no longer need to manually navigate through dozens of settings pages to check resource limits or confirm which branches exist. Instead, asking for 'Project boundary details' triggers the agent to call `get_project_limits` and then use `list_branches`. The result is a single summary you can act on immediately.
The difference isn't just speed; it's consistency. You get a reliable, repeatable process every time, whether you need to delete an entire project with `delete_project` or simply view the current status using `get_branch`.
What your AI can actually do with this
Managing a serverless database used to mean switching between your IDE, the cloud console, and documentation pages just to check a schema or update an organization setting. This MCP changes that. You connect your Xata account to your preferred AI client and treat your agent like a full-time DBA who never needs coffee breaks.
Need to spin up a new data silo? Just ask. Want to see which users are in the main team? Ask for that too. Everything you do, from making sure project credentials are fresh with rotate_branch_credentials to checking resource usage via get_project_limits, runs through this connection. Because sensitive keys pass through a zero-trust proxy on Vinkius, your actual secrets never sit on disk.
This means complex data operations are safer and faster than ever.
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Here's how it actually works
The bottom line is: you talk to your database like it’s a colleague.
Subscribe to this MCP in the Vinkius Marketplace and input your Xata API key.
Your AI client authenticates through the zero-trust proxy, granting access to your data infrastructure.
You simply ask your agent to perform a complex task (e.g., 'Run a query on the staging branch').
Who is this actually for?
The backend engineer who gets bogged down in infrastructure boilerplate, or the data analyst who needs quick, deep access without writing complex scripts. This MCP handles the full cycle.
Needs to spin up a new environment and test schema changes by running create_project and then validating data with execute_sql.
Spends time checking resource allocation, using tools like get_branch_metrics and list_instance_types to prevent outages.
Needs quick access to historical data. They'll ask the agent to list organizations or pull specific reports with a single query, bypassing manual dashboard navigation.
What Changes When You Connect
Stop context switching. You manage your whole data stack—from list_organizations to running complex queries with execute_sql—all through natural conversation.
Prevent resource overruns by checking boundaries instantly. Use get_project_limits and get_branch_metrics to know exactly how close you are to a billing wall before it happens.
Security is baked in. All credentials pass through Vinkius's zero-trust proxy, so even when running sensitive tasks like rotate_branch_credentials, your keys never touch the disk.
Accelerate onboarding. Instead of writing boilerplate code, you can use simple commands to set up infrastructure—like calling create_project followed by send_invitation—in minutes.
Full visibility into operations. Vinkius AI Analytics tracks every tool call and data flow, giving you an audit trail for everything your agent does.
Handle bulk changes easily. Use execute_sql_batch to run dozens of related updates in a single, controlled transaction.
See it in action
Initial team setup and data separation
A new product line needs its own isolated database. Instead of manually creating everything, the agent first calls create_organization for the new division, then uses list_projects to see available containers, and finally runs create_project within that organization.
Debugging a broken feature
The live environment is acting weird. The agent first calls get_branch_metrics on the 'main' branch to check for unexpected spikes, then uses list_members to confirm if the correct team roles are present, and finally runs get_project details.
Quarterly compliance audit
Compliance requires knowing who has access. The agent first calls list_organizations, then uses list_members for each organization to compile a complete roster, and finally runs delete_invitation on any departed staff.
Mass data migration validation
A large dataset was moved. The agent first calls get_branch_credentials to confirm the connection parameters for the target branch, then uses execute_sql_batch to run a series of validation checks on the new records.
The honest tradeoffs
Over-relying on single queries
Trying to check if a user is an admin, and then also listing all projects, using two separate commands.
Instead of running list_projects and then list_members, ask the agent: 'List all active members who belong to any project.' This handles both checks in one natural command.
Ignoring credential rotation
Running a critical data query (execute_sql) using credentials that haven't been updated in months.
Always check the security first. Run get_branch_credentials and, if needed, immediately use rotate_branch_credentials before running any sensitive queries.
Mixing up scope
Asking for member lists without specifying which organization you want them from.
Always narrow the focus. Use list_organizations first to pick the target, then use list_members on that specific organizational ID.
When It Fits, When It Doesn't
Use this MCP if your primary pain point is context switching between multiple infrastructure dashboards or running complex setup sequences manually. It's perfect for DevOps engineers who need to manage project lifecycles (using tools like create_project, update_project) and data analysts needing deep, quick access via execute_sql. Don't use this if you only need to read public documentation or simply look up a single API endpoint; those are better handled by reference guides. If your workflow involves sequencing multiple infrastructure changes—like creating an organization, then adding members, then setting up initial project limits—this MCP is built for that orchestration.
Questions you might have
How do I list all my organizational containers using list_organizations? +
You just ask your agent to 'List all organizations.' It pulls a clean directory of every top-level organization you have access to, letting you pick the right scope for your work.
What is the best way to run multiple queries in one go with execute_sql_batch? +
Use execute_sql_batch when you know a set of related changes must happen together. This wraps them in a single transaction, ensuring all statements succeed or none of them do.
Can I see who belongs to my current team using list_members? +
Yes. You prompt the agent to 'List members' after confirming which organization you are working in. It gives a full roster, so you know exactly who has access.
How do I check if my project is running low on resources using get_project_limits? +
You simply ask the agent to 'Show project limits.' It calls get_project_limits and reports back the resource boundaries, letting you plan for scaling.
How do I maintain security compliance by using the `rotate_branch_credentials` tool? +
The MCP automatically generates fresh credentials for a specified branch. This is essential for maintaining strong security protocols and ensures your application doesn't rely on stale or compromised keys.
What are the initial steps required to spin up an entirely new workspace using `create_project`? +
You initiate the process by calling the tool with the project name and necessary region details. Your agent handles the provisioning of a dedicated, isolated space for all your future development work.
How do I run a single check or retrieve one specific piece of data using `execute_sql`? +
You simply send a standard SQL SELECT statement targeting the required branch. The MCP executes it and returns only the precise result set you asked for, keeping your workflow focused.
If I'm done with a database project, how do I properly clean up all associated resources using `delete_project`? +
Running this tool handles the full removal of the specified project. It ensures that all linked data and infrastructure are safely deleted, preventing orphaned costs or clutter.
Can I execute raw SQL queries on my Xata branches? +
Yes! You can use the execute_sql tool to run any valid SQL statement against a specific database branch. For multiple statements, use execute_sql_batch.
How do I check the performance or usage of a specific database branch? +
Use the get_branch_metrics tool. It provides real-time insights into the operational status and usage metrics of your targeted database branch.
Is it possible to manage team access and invitations through the AI? +
Absolutely. You can use list_members to see who has access, and send_invitation to invite new collaborators to your organization directly.
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