CrewAIFramework

Xata MCP Server

Bring Serverless
to CrewAI

Name: Xata MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Xata to CrewAI and start using 28 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Cancel Organization InvitationCreate BranchCreate Org Api KeyCreate OrganizationCreate ProjectCreate User Api KeyDelete User Api KeysExecute SqlGet Branch CredentialsGet Branch MetricsGet Github Repository MappingGet OrganizationGet Project LimitsInstall Github AppInvite Organization MemberList BranchesList ImagesList Org Api KeysList Organization InvitationsList Organization MembersList OrganizationsList ProjectsList RegionsList User Api KeysMap Github RepositoryRemove Organization MemberRotate Branch CredentialsUpdate Organization

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Xata MCP Server?

Connect your Xata account to any AI agent to manage your serverless data infrastructure through natural conversation.

What you can do

Organization Management — List, create, and update organizations, and manage member invitations and roles.
Project Control — Create and list projects within your organizations and monitor resource limits and quotas.
Database Operations — Manage branches, retrieve credentials, and execute SQL queries directly against your data.
Developer Workflow — Handle API keys and GitHub integrations to streamline your deployment pipeline and repository mapping.

How it works

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

Who is this for?

Backend Developers — quickly spin up projects and branches without leaving the terminal or IDE.
Data Engineers — query data and inspect organization structures via SQL directly through the agent.
DevOps Managers — automate member access, invite collaborators, and manage API key rotations.

Built-in capabilities (28)

cancel_organization_invitation

Cancel a pending organization invitation

create_branch

Create a new database branch

create_org_api_key

Create an API key for the organization

create_organization

Create a new Xata organization

create_project

Create a new project in an organization

create_user_api_key

Create a new user API key

delete_user_api_keys

Bulk delete user API keys by ID

execute_sql

Execute single or batch SQL queries over HTTP

get_branch_credentials

Retrieve database username and password for a branch

get_branch_metrics

Query observability data (CPU, Memory, Disk, etc.) for a branch

get_github_repository_mapping

Retrieve the current GitHub repository mapping for a branch

get_organization

Get detailed information about a specific organization

get_project_limits

Get resource limits for projects in an organization

install_github_app

Link a GitHub App installation to an organization

invite_organization_member

Invite a user to an organization via email

list_branches

List all branches in a project

list_images

List available PostgreSQL versions/images

list_org_api_keys

List organization-scoped API keys

list_organization_invitations

List pending or expired invitations for an organization

list_organization_members

List members of an organization

list_organizations

List all organizations the authenticated user belongs to

list_projects

List all projects within an organization

list_regions

List available regions for project deployment

list_user_api_keys

List API keys for the authenticated user

map_github_repository

Map a GitHub repository to a branch

remove_organization_member

Remove a member from an organization

rotate_branch_credentials

Trigger a password rotation for a branch

update_organization

Update organization information

Why CrewAI?

When paired with CrewAI, Xata becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Xata tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

—
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime
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Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
—
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

Xata in CrewAI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Xata and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Xata to CrewAI 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 catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for CrewAI →

Enterprise Security

Why teams choose Vinkius for Xata in CrewAI

The Xata 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 28 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI 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.

Unlock for AI Agents View full Xata details →

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 for CrewAI

Every tool call from CrewAI to the Xata 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

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.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.