Xata MCP Server for LlamaIndexGive LlamaIndex instant access to 28 tools to Cancel Organization Invitation, Create Branch, Create Org Api Key, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Xata as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Xata MCP Server for LlamaIndex 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
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Xata. "
"You have 28 tools available."
),
)
response = await agent.run(
"What tools are available in Xata?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Xata tool responses with indexed documents for comprehensive, grounded answers. Connect 28 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Xata into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Xata MCP Server
LlamaIndex provides unique advantages when paired with Xata through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Xata tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Xata tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Xata, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Xata tools were called, what data was returned, and how it influenced the final answer
Xata + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Xata MCP Server delivers measurable value.
Hybrid search: combine Xata real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Xata to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Xata for fresh data
Analytical workflows: chain Xata queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Xata in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Xata to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpXata + LlamaIndex FAQ
Common questions about integrating Xata MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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