How to Use the Deta Space (Serverless Personal Cloud API) MCP in LlamaIndex

Index your private cloud data into LlamaIndex using the Deta Space (Serverless Personal Cloud API) MCP Server.

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Connect Deta Space (Serverless Personal Cloud API) MCP to LlamaIndex

Create your Vinkius account to connect Deta Space (Serverless Personal Cloud API) 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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Setup Deta Space (Serverless Personal Cloud API) with LlamaIndex

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Index Deta Base records in LlamaIndex

Turn your stored items into searchable vectors. Call `base_query_items` to pull your data, then feed it into your index for semantic retrieval. This turns raw database objects into a knowledge base. Your LlamaIndex agent can now answer questions grounded in your actual cloud records.

Add Drive files to LlamaIndex

Fetch remote files using `drive_download_file` to keep your local index current. This ensures your knowledge base stays synced with your cloud storage. Use `drive_list_files` to audit what is currently indexed. Your agent can then decide which specific documents need updating based on the file list.

Query Deta Space from LlamaIndex

Let your index drive your database updates. After finding an answer in your index, use `base_put_items` to store a summary or derived record back in your base. This creates a feedback loop where your data stays relevant. The agent uses the tools to update your cloud state based on what it learned from your index.

Setup guide

Set up Deta Space (Serverless Personal Cloud API) MCP in LlamaIndex

Prerequisites

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

1

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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Deta Space (Serverless Personal Cloud API) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 Deta Space (Serverless Personal Cloud API) tools.",
)
response = await agent.run("List recent Deta Space (Serverless Personal Cloud API) data")

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Common questions about Deta Space (Serverless Personal Cloud API) MCP in LlamaIndex

Use the McpToolSpec class to convert server tools into LlamaIndex functions. Once registered, your agent can query your database and drive as part of the ingestion process.

Yes, the integration allows your agent to call tools during the RAG process. This means your index can be updated dynamically based on live database queries.

LlamaIndex handles the semantic search part, while this server provides the data. You query your base, index the results, and then perform semantic lookups.

Your connection is encrypted and authenticated through your Vinkius endpoint. No third party gains access to your raw database keys or file contents.

Data remains encrypted at rest within your own cloud. The MCP server interface merely provides the specific tools needed for your agent to read or write those structures.

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