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

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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Xata through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Xata "
            "(28 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Xata?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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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.

Pydantic AI validates every Xata tool response against typed schemas, catching data inconsistencies at build time. Connect 28 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 28 tools from Xata with type-safe schemas

Why Use Pydantic AI with the Xata MCP Server

Pydantic AI provides unique advantages when paired with Xata through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Xata integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Xata connection logic from agent behavior for testable, maintainable code

Xata + Pydantic AI Use Cases

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

Type-safe data pipelines: query Xata with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Xata tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Xata and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Xata responses and write comprehensive agent tests

Example Prompts for Xata in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Xata + Pydantic AI FAQ

Common questions about integrating Xata MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Xata MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.