4,000+ servers built on vurb.ts
Vinkius
Mastra AISDK
Mastra AI
Xata (Serverless DB) MCP Server

Bring Serverless
to Mastra AI

Learn how to connect Xata (Serverless DB) to Mastra AI and start using 30 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create BranchCreate OrganizationCreate ProjectDelete BranchDelete InvitationDelete ProjectExecute SqlExecute Sql BatchGet BranchGet Branch CredentialsGet Branch MetricsGet OrganizationGet ProjectGet Project LimitsList BranchesList ImagesList Instance TypesList InvitationsList MembersList OrganizationsList ProjectsList RegionsRemove MemberRequest Organization DeletionResend InvitationRotate Branch CredentialsSend InvitationUpdate BranchUpdate OrganizationUpdate Project

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Xata (Serverless DB)

What is the Xata (Serverless DB) MCP Server?

Connect your Xata account to any AI agent to manage your serverless data infrastructure through natural conversation. Xata combines the power of a relational database with the ease of use of a spreadsheet, all accessible via this MCP server.

What you can do

  • Organization Management — List, create, and update organizations and manage team members or invitations using list_organizations and list_members.
  • Project & Branch Control — Create and manage projects and database branches across different regions with create_project and create_branch.
  • SQL Execution — Run SQL queries or batches directly against your database branches to fetch or manipulate data using execute_sql.
  • Infrastructure Insights — Retrieve branch metrics, credentials, and project limits to monitor your serverless environment with get_branch_metrics and get_project_limits.

How it works

  1. Subscribe to this server
  2. Enter your Xata API Key
  3. Start managing your databases from Claude, Cursor, or any MCP-compatible client

No more switching between your IDE and the Xata dashboard to check schema or run quick queries. Your AI acts as a database administrator and developer advocate.

Who is this for?

  • Backend Developers — run SQL queries and manage database branches directly from the code editor.
  • DevOps Engineers — monitor project limits and branch metrics to ensure infrastructure health.
  • Data Analysts — quickly explore organizational data and project structures through natural language.

Built-in capabilities (30)

create_branch

Create a new database branch

create_organization

Create a new organization

create_project

Create a new project

delete_branch

Delete a branch

delete_invitation

Delete an organization invitation

delete_project

Delete a project

execute_sql

Execute a SQL query against a branch

execute_sql_batch

Execute a batch of SQL queries in a single transaction

get_branch

Get branch details

get_branch_credentials

Retrieve branch credentials

get_branch_metrics

Retrieve branch metrics

get_organization

Get organization details

get_project

Get project details

get_project_limits

Get resource limits for projects

list_branches

List all branches in a project

list_images

List available images

list_instance_types

List available instance types for a region

list_invitations

List organization invitations

list_members

List organization members

list_organizations

List all organizations

list_projects

List all projects in an organization

list_regions

List available regions

remove_member

Remove a member from an organization

request_organization_deletion

Request organization deletion

resend_invitation

Resend an organization invitation

rotate_branch_credentials

Rotate branch credentials

send_invitation

Send an invitation to join an organization

update_branch

Update branch details

update_organization

Update organization details

update_project

Update project details

Why Mastra AI?

Mastra's agent abstraction provides a clean separation between LLM logic and Xata (Serverless DB) tool infrastructure. Connect 30 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Xata (Serverless DB) without touching business code

  • Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

  • TypeScript-native: full type inference for every Xata (Serverless DB) tool response with IDE autocomplete and compile-time checks

  • One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

M
See it in action

Xata (Serverless DB) in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Xata (Serverless DB) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Xata (Serverless DB) to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Xata (Serverless DB) in Mastra AI

The Xata (Serverless DB) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 30 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Xata (Serverless DB)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Xata (Serverless DB) for Mastra AI

Every tool call from Mastra AI to the Xata (Serverless DB) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

05

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

06

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

07

createMCPClient not exported

Install: npm install @mastra/mcp

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