Xata MCP Server for CrewAIGive CrewAI instant access to 28 tools to Cancel Organization Invitation, Create Branch, Create Org Api Key, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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)
* 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 organization invitation on Xata
Cancel a pending organization invitation
Create branch on Xata
Create a new database branch
Create org api key on Xata
Create an API key for the organization
Create organization on Xata
Create a new Xata organization
Create project on Xata
Create a new project in an organization
Create user api key on Xata
Create a new user API key
Delete user api keys on Xata
Bulk delete user API keys by ID
Execute sql on Xata
Execute single or batch SQL queries over HTTP
Get branch credentials on Xata
Retrieve database username and password for a branch
Get branch metrics on Xata
Query observability data (CPU, Memory, Disk, etc.) for a branch
Get github repository mapping on Xata
Retrieve the current GitHub repository mapping for a branch
Get organization on Xata
Get detailed information about a specific organization
Get project limits on Xata
Get resource limits for projects in an organization
Install github app on Xata
Link a GitHub App installation to an organization
Invite organization member on Xata
Invite a user to an organization via email
List branches on Xata
List all branches in a project
List images on Xata
List available PostgreSQL versions/images
List org api keys on Xata
List organization-scoped API keys
List organization invitations on Xata
List pending or expired invitations for an organization
List organization members on Xata
List members of an organization
List organizations on Xata
List all organizations the authenticated user belongs to
List projects on Xata
List all projects within an organization
List regions on Xata
List available regions for project deployment
List user api keys on Xata
List API keys for the authenticated user
Map github repository on Xata
Map a GitHub repository to a branch
Remove organization member on Xata
Remove a member from an organization
Rotate branch credentials on Xata
Trigger a password rotation for a branch
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.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 28 tools from XataWhy Use CrewAI with the Xata MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Xata through the Model Context Protocol.
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
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
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
Xata + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Xata MCP Server delivers measurable value.
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
Scheduled intelligence reports: set up a crew that periodically queries Xata, analyzes trends over time, and generates executive briefings in markdown or PDF format
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
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.
"List all my Xata organizations."
"Invite dev@example.com to organization org-123."
"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.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Xata + CrewAI FAQ
Common questions about integrating Xata MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
View all →
arXiv Alternative
4 toolsAccess millions of scientific papers from arXiv — search by author, category, or keyword and fetch metadata directly from the open-access archive.

Pipedream
7 toolsManage Pipedream serverless workflows, sources, webhooks, and raw event data natively via AI agents.

Tailscale
13 toolsManage your Tailscale mesh network — list devices, update ACL policies, manage auth keys, and inspect users directly from any AI agent.

Wayfront
10 toolsManage your parking operations with digital permits, enforcement tracking, and revenue analytics for parking facility operators.
