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Xata MCP Server for CrewAIGive CrewAI instant access to 28 tools to Cancel Organization Invitation, Create Branch, Create Org Api Key, and more

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Connect your CrewAI agents to Xata through Vinkius, pass the Edge URL in the `mcps` parameter and every Xata tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

The Xata MCP Server for CrewAI is a standout in the Databases category — giving your AI agent 28 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Xata Specialist",
    goal="Help users interact with Xata effectively",
    backstory=(
        "You are an expert at leveraging Xata tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Xata "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 28 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Xata
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

About Xata MCP Server

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

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.

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.

The Xata MCP Server exposes 28 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 28 Xata tools available for CrewAI

When CrewAI connects to Xata through Vinkius, your AI agent gets direct access to every tool listed below — spanning serverless, relational-database, vector-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel organization invitation on Xata

Cancel a pending organization invitation

create

Create branch on Xata

Create a new database branch

create

Create org api key on Xata

Create an API key for the organization

create

Create organization on Xata

Create a new Xata organization

create

Create project on Xata

Create a new project in an organization

create

Create user api key on Xata

Create a new user API key

delete

Delete user api keys on Xata

Bulk delete user API keys by ID

execute

Execute sql on Xata

Execute single or batch SQL queries over HTTP

get

Get branch credentials on Xata

Retrieve database username and password for a branch

get

Get branch metrics on Xata

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

get

Get github repository mapping on Xata

Retrieve the current GitHub repository mapping for a branch

get

Get organization on Xata

Get detailed information about a specific organization

get

Get project limits on Xata

Get resource limits for projects in an organization

install

Install github app on Xata

Link a GitHub App installation to an organization

invite

Invite organization member on Xata

Invite a user to an organization via email

list

List branches on Xata

List all branches in a project

list

List images on Xata

List available PostgreSQL versions/images

list

List org api keys on Xata

List organization-scoped API keys

list

List organization invitations on Xata

List pending or expired invitations for an organization

list

List organization members on Xata

List members of an organization

list

List organizations on Xata

List all organizations the authenticated user belongs to

list

List projects on Xata

List all projects within an organization

list

List regions on Xata

List available regions for project deployment

list

List user api keys on Xata

List API keys for the authenticated user

map

Map github repository on Xata

Map a GitHub repository to a branch

remove

Remove organization member on Xata

Remove a member from an organization

rotate

Rotate branch credentials on Xata

Trigger a password rotation for a branch

update

Update organization on Xata

Update organization information

Connect Xata to CrewAI via MCP

Follow these steps to wire Xata into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 28 tools from Xata

Why Use CrewAI with the Xata MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Xata through the Model Context Protocol.

01

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

02

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

03

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

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Xata + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Xata MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Xata for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Xata, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Xata tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Xata against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Xata in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Xata immediately.

01

"List all my Xata organizations."

02

"Invite dev@example.com to organization org-123."

03

"Show me the projects in organization 'org-123'."

Troubleshooting Xata MCP Server with CrewAI

Common issues when connecting Xata to CrewAI through Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Xata + CrewAI FAQ

Common questions about integrating Xata MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

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