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

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Xata through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Xata MCP Server for LangChain 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
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "xata": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Xata, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
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.

LangChain's ecosystem of 500+ components combines seamlessly with Xata through native MCP adapters. Connect 28 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 28 tools from Xata via MCP

Why Use LangChain with the Xata MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Xata MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Xata queries for multi-turn workflows

Xata + LangChain Use Cases

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

01

RAG with live data: combine Xata tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Xata, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Xata tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Xata tool call, measure latency, and optimize your agent's performance

Example Prompts for Xata in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Xata + LangChain FAQ

Common questions about integrating Xata MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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