Bring Serverless
to LangChain
Learn how to connect Xata to LangChain 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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 a pending organization invitation
Create a new database branch
Create an API key for the organization
Create a new Xata organization
Create a new project in an organization
Create a new user API key
Bulk delete user API keys by ID
Execute single or batch SQL queries over HTTP
Retrieve database username and password for a branch
Query observability data (CPU, Memory, Disk, etc.) for a branch
Retrieve the current GitHub repository mapping for a branch
Get detailed information about a specific organization
Get resource limits for projects in an organization
Link a GitHub App installation to an organization
Invite a user to an organization via email
List all branches in a project
List available PostgreSQL versions/images
List organization-scoped API keys
List pending or expired invitations for an organization
List members of an organization
List all organizations the authenticated user belongs to
List all projects within an organization
List available regions for project deployment
List API keys for the authenticated user
Map a GitHub repository to a branch
Remove a member from an organization
Trigger a password rotation for a branch
Update organization information
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine Xata MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Xata queries for multi-turn workflows
Xata in LangChain
Xata and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Xata to LangChain 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.
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 |
Why teams choose Vinkius for Xata in LangChain
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 LangChain 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.
* 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
How Vinkius secures
Xata for LangChain
Every tool call from LangChain to the Xata MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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