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How to Use the Turso MCP in LlamaIndex

Index live API data and manage distributed databases with LlamaIndex.

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LlamaIndex

Connect Turso MCP to LlamaIndex

Create your Vinkius account to connect Turso to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Build Queryable DB Indices

The `list_databases` tool allows your agent to enumerate the complete libSQL Edge Database registry. This output is perfect for indexing because it provides factual, structured data about all available database endpoints. You'll combine this live API data with your internal documents into a unified index, so you can query past configurations and get answers grounded in real results.

Audit DB Locations

To map physical locations, the agent calls `list_edge_locations`, looking up global Fly.io datacenter mappings. This geographical data is highly searchable for RAG applications that need to know where their data actually resides. Similarly, you can use `list_database_groups` to index Turso's logical groups, helping your knowledge base understand the organizational structure of your data sources.

Manage DB Credentials in RAG

Need to know which tokens are active? Use `list_database_tokens` to list current execution JWT Tokens. Indexing this metadata means you can query, 'Which database has an expired token?' and get a direct answer. For setting up new access, the agent uses `create_database_token`, and that output can be immediately logged into your searchable knowledge base.

Setup guide

Set up Turso MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Turso MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Turso tools.",
)
response = await agent.run("List recent Turso data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Turso. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Turso MCP in LlamaIndex

LlamaIndex can ingest the results of `list_databases` and `get_database_details`. This turns transient API data about your distributed databases into permanent, searchable knowledge base entries.
The primary data type you index is the database metadata itself—including the list of edge locations and organization tenants. It's all about structured, actionable configuration information.
Yes. Your agent can use `list_database_tokens` to retrieve the current list of tokens, which you then index into your RAG system. This ensures your knowledge base is always up-to-date on access credentials.
The MCP Server design supports combining tools from multiple servers, allowing LlamaIndex to build comprehensive RAG applications that draw knowledge from many different API sources.
You should index the output of `list_database_tokens` along with the `list_organizations`. This gives your knowledge base a complete picture of who owns what, and which databases are active.

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