Xata MCP for AI. Manage your database governance and infrastructure from chat.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Xata manages serverless database infrastructure through your AI agent. It lets you handle everything from creating new organizations and projects to executing complex SQL queries, all without leaving your development environment.
Control user access, manage API keys, and monitor resource quotas using natural conversation.
What your AI can do
Cancel organization invitation
Stops a pending invitation to an organization member.
Create branch
Creates a new, isolated database branch within a project.
Create org api key
Generates an API key that applies across the entire organization.
Create new organizational containers, list existing ones, add members, and remove access for specific users.
Set up projects within organizations, check resource usage quotas, or view available regions for deployment.
Run single or batch SQL queries against specific database branches to inspect or modify data.
Generate, list, delete, and rotate user and organization-level API keys for strict access control.
Map GitHub repositories to specific data branches or link the platform to existing version control systems.
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Xata: 28 Tools for Database Management
These tools let your agent perform every administrative task needed to build, secure, and query complex serverless data infrastructures.
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 on VinkiusCancel Organization Invitation
Stops a pending invitation to an organization member.
Create Branch
Creates a new, isolated database branch within a project.
Create Org Api Key
Generates an API key that applies across the entire organization.
Create Organization
Sets up a brand new Xata organizational container.
Create Project
Initializes a new development project under an existing organization.
Create User Api Key
Issues a dedicated API key for a specific user account.
Delete User Api Keys
Deletes multiple user-level API keys using a list of IDs.
Execute Sql
Runs one or many SQL queries against the database via an HTTP endpoint.
Get Branch Credentials
Retrieves the specific username and password required for a given database branch.
Get Branch Metrics
Queries operational data like CPU, memory, or disk usage for a specific branch.
Get Github Repository Mapping
Checks how a GitHub repository is currently mapped to a database branch.
Get Organization
Fetches detailed information about an organization by its ID.
Get Project Limits
Retrieves the resource usage limits and quotas for a given project.
Install Github App
Links an application installation from GitHub to the organization.
Invite Organization Member
Sends a formal invitation email to a user for the organization.
List Branches
Lists all available database branches within an active project.
List Images
Shows which PostgreSQL versions or images are available for use.
List Org Api Keys
Lists all API keys scoped to the entire organization.
List Organization Invitations
Retrieves a list of pending or expired member invitations for the organization.
List Organization Members
Lists every user currently belonging to an organization.
List Organizations
Shows all organizations that the authenticated user belongs to.
List Projects
Retrieves a list of all projects housed within an organization.
List Regions
Lists all geographical regions available for project deployment.
List User Api Keys
Displays API keys that belong to the authenticated user account.
Map Github Repository
Connects a specified GitHub repository to a data branch.
Remove Organization Member
Removes a member from the organization, revoking their access.
Rotate Branch Credentials
Forces a password change for an existing database branch to maintain security.
Update Organization
Updates general information about the organization itself (like name or details).
Security and governance baked right in.
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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, 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
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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 connection provides 28 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Today, managing database infrastructure means context-switching constantly.
When a team needs to onboard a new environment or check usage limits, they currently have to open the console dashboard, switch tabs for user management, then maybe jump into an IDE just to run the SQL. It's a cycle of clicking through five different panels and copying credentials between them.
With this MCP, you simply tell your agent what needs doing: 'Create a new project for Q3 testing.' The agent handles the sequence—it creates the necessary resources, lists the available regions, and prepares the environment. You get back confirmation and actionable data; nothing else.
The Xata MCP gives you full control over your database life cycle.
You no longer need to manually audit API keys or check user roles across multiple services. You can list all organization members (`list_organization_members`), check who is invited but hasn't joined (`list_organization_invitations`), and instantly remove access if someone leaves.
The agent manages the complex relationships between users, projects, and branches automatically. The difference now is that your entire infrastructure lifecycle runs through one conversation thread.
What your AI can actually do with this
Use this MCP to connect your AI client directly to your Xata data infrastructure. You can treat your database governance like a chat session; instead of navigating complex dashboards, you simply ask for what you need done—whether that’s spinning up a new project or checking usage limits.
This connector handles the entire lifecycle of your serverless data resources. Need to audit who has access? Ask the agent to list all organizations and their members. Want to test a query? Execute SQL directly against any branch. You can manage developer credentials, revoke old keys, and even trigger password rotations for critical branches.
When you connect Xata through Vinkius, your security is handled by more than just good practices; your API keys pass through a secure, zero-trust proxy that ensures they are used only in transit and never stored on a disk. This means your data governance remains airtight while giving your agent full control over the operational details of your database.
019e390e-b5a3-7106-a8d5-2e7c93a334a1 Here's how it actually works
The bottom line is you talk to your database like you talk to a teammate who already knows where everything is.
Subscribe to this MCP and enter your Xata API Key.
Connect your AI client (like Cursor or Claude) to Vinkius, authorizing access with the key.
Give a direct command to your agent; it uses the configured tools to interact with your data infrastructure.
Who is this actually for?
This connector is for the backend engineer stuck in a dashboard loop, the data architect needing governance visibility, or the DevOps manager responsible for compliance. If your job involves managing complex multi-tenant database structures, you need this.
Automating member onboarding and offboarding; managing API key lifecycles; triggering branch credential rotations.
Running complex, ad-hoc SQL queries against different branches; listing projects to map data sources; checking resource limits.
Quickly spinning up new isolated projects and mapping GitHub repositories into development branches without switching tools.
What Changes When You Connect
Automate user access control. You can invite new users using invite_organization_member or immediately revoke them with remove_organization_member, all via conversation.
Never lose track of resources. Use list_projects to see every project in an organization, and check resource quotas with get_project_limits before development hits a wall.
Perform deep data inspection. Run arbitrary SQL checks using execute_sql without needing to write a single separate client script or connection string.
Maintain security compliance. If credentials are compromised, you can trigger an immediate password change for any branch with rotate_branch_credentials. This is critical.
Streamline developer setup. Map GitHub repositories directly using map_github_repository to ensure development branches always match the source code.
See it in action
Onboarding a new client team
A DevOps Manager needs to add three developers and give them limited access. The agent first runs list_organization_members to check who exists, then uses invite_organization_member for the new users, and finally calls create_user_api_key for each one, logging the key IDs.
Debugging data inconsistencies
A Data Engineer finds a mismatch between the live database and the code repo. They ask the agent to run get_github_repository_mapping, check it against list_branches, and then use execute_sql to validate the data point directly.
Scaling up development efforts
A Backend Developer needs a new isolated sandbox for testing. They ask the agent to create_organization, followed by create_project, and then use create_branch to get a clean environment, all in one flow.
Auditing compliance access
The security team wants to know who has elevated permissions. They ask the agent to run list_org_api_keys and cross-reference it with list_organization_members to build a full audit report.
The honest tradeoffs
Copying credentials manually
A developer finds the credentials in the dashboard, copies the username/password, and pastes them into their terminal session. This is slow and error-prone.
Instead, ask your agent to run get_branch_credentials. It handles the retrieval securely within Vinkius's zero-trust proxy.
Overwriting existing keys
A user needs a new key but doesn't know if one already exists, so they create a duplicate create_user_api_key without checking first. This leads to confusion and stale credentials.
Always start by running list_user_api_keys. Then, use the unique IDs from that list when calling tools like delete_user_api_keys.
Ignoring resource limits
A project hits a usage wall because nobody checked the quota. The developer only sees an error message and doesn't know if it's CPU or storage.
Check get_project_limits first. This tells you exactly what resources are constrained before your agent attempts any heavy operation.
When It Fits, When It Doesn't
Use this MCP if your workflow involves more than just reading data; specifically, if you need to manage the governance of your database infrastructure—things like user roles, key lifecycles, or project creation. If you only ever need to query a single, pre-existing dataset and never change its structure or access control, then connecting a simple read-only API client might be enough. However, if you deal with multi-tenant environments or require compliance checks (like knowing when to run rotate_branch_credentials), this is the right tool. Don't use it just because it handles SQL; use it because it manages the context around that SQL.
Questions you might have
How do I list all my organizations using the Xata MCP? +
You run list_organizations. This immediately shows every organization ID you have access to, so you don't have to navigate a dashboard just to see your options.
Can I check resource limits with get_project_limits? What does it show? +
get_project_limits shows the quota for CPU, memory, and disk used by projects. This is crucial for preventing unexpected overspending or service interruptions.
What if I need to reset a branch's password? Do I use rotate_branch_credentials? +
Yes, that's the right tool. You call rotate_branch_credentials when you suspect credentials might be exposed or if compliance mandates it. It forces an immediate password change for maximum security.
How do I invite a user to my organization using Xata MCP? +
Use the invite_organization_member tool. Just provide the email address and the target organization ID, and your agent sends the formal invitation automatically.
How do I view all organization-scoped API keys using the `list_org_api_keys` tool? +
The tool returns a comprehensive list of every key created for the entire organization. This is essential for auditing and security checks, letting you verify who has access without needing to check individual user accounts.
What specific metrics can I monitor for a branch using `get_branch_metrics`? +
You can pull observability data like CPU usage, memory consumption, and disk space for that specific branch. This helps you spot performance bottlenecks or unusual resource spikes before they become critical issues.
When I use the `create_branch` tool, what happens to the existing data in a project? +
Creating a new database branch initializes it as an isolated environment. The action doesn't affect other branches or projects; you get a fresh workspace ready for new schema development and testing.
How do I verify the current connection between my code repository and Xata using `get_github_repository_mapping`? +
This tool pulls the established mapping, showing which GitHub branch points to which database branch. It's a quick way to confirm your deployment pipeline is correctly linked before merging changes.
Can I see all organizations I have access to? +
Yes! Use the list_organizations tool to retrieve all Xata organizations available to your current API key.
How do I start a new project in a specific organization? +
Simply use the create_project action providing the organization_id and the desired name for your new project.
Can I run raw SQL queries through the agent? +
Yes, the execute_sql tool allows you to run SQL queries directly against your database branches for advanced data manipulation and analysis.
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