Can my AI agent provision a new database in a specific edge location?

Yes. You can ask your agent to list available edge locations first, and then instruct it to create a new database in a logical group hosted in that region. Ensure you provide the target group name so the database is correctly allocated to your application fleet.

How can I quickly revoke database access if a token is compromised?

Simply ask your agent to invalidate or rotate the tokens for that specific database name. The AI will hit the /invalidate endpoint, blocking all old tokens instantly. Afterwards, you can ask for a fresh secure token with a 24-hour expiration.

Can the agent check if I am approaching my dataset limits?

Yes. When querying the details of a specific database, the agent retrieves storage metadata and group allocation facts. You can ask the AI to summarize your database sizes and flags to see which instances might need an upgrade or clean-up.

Turso MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Turso
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Turso as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Turso. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Turso?"
    )
    print(response)

asyncio.run(main())

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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 Turso MCP Server

Connect your Turso account to any AI agent and take full control of your serverless SQLite infrastructure through natural conversation.

LlamaIndex agents combine Turso tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

Organizations & Locations — Identify root organizational tenants and lookup physical global Fly.io datacenter mappings
Databases & Groups — Enumerate the complete libSQL Edge Database registry and logical groups orchestrating DB locations
Database Management — Provision a massively distributed database, retrieve architectural metadata, and permanently delete instances
Security & Tokens — Mints secure connection tokens, list active execution JWTs, and rotate database keys to block old tokens instantly

The Turso MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Turso to LlamaIndex via MCP

Follow these steps to integrate the Turso MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 10 tools from Turso

Why Use LlamaIndex with the Turso MCP Server

LlamaIndex provides unique advantages when paired with Turso through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Turso tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Turso tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Turso, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Turso tools were called, what data was returned, and how it influenced the final answer

Turso + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Turso MCP Server delivers measurable value.

Hybrid search: combine Turso real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Turso 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 Turso for fresh data

Analytical workflows: chain Turso queries with LlamaIndex's data connectors to build multi-source analytical reports

Turso MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Turso to LlamaIndex via MCP:

create_database

Provide the organization slug, database name, and target group. Provision a massively distributed Serverless SQLite database

create_database_token

Mint a secure connection Token tied strictly to a specific DB

delete_database

This action is irreversible. Permanently deletes a global libSQL database

get_database_details

Introspect exact architectural traits of one target libSQL instance

list_database_groups

Get Turso logical groups orchestrating DB locations

list_database_tokens

List active Database execution JWT Tokens

list_databases

Enumerate the complete libSQL Edge Database registry

list_edge_locations

Lookup physical global Fly.io datacenter mappings (Locations)

list_organizations

Identify Turso Edge SQLite root organizational tenants

rotate_database_tokens

Revoke all pre-existing Tokens for a database

Example Prompts for Turso in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Turso immediately.

"List all my Turso databases and their hostnames."

"Create a new database named 'user-cache' in the 'default' group."

"Invalidate all tokens for the 'legacy-db' database immediately."

Troubleshooting Turso MCP Server with LlamaIndex

Common issues when connecting Turso to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Turso + LlamaIndex FAQ

Common questions about integrating Turso MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.