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

Build multi-step agents in LangChain that interact directly with your Deta Space storage.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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

Create your Vinkius account to connect Deta Space (Serverless Personal Cloud API) to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Deta Space (Serverless Personal Cloud API) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Deta Base operations in LangChain

Pipe the results of your logic directly into your database. Use `base_insert_item` to save state as your agent works through a chain. Your agent can also pull data back mid-sequence. Use `base_get_item` to grab a specific record and pass that value into the next step of your chain.

Automate file movement within LangChain

Manage your cloud assets by calling `drive_upload_file` inside a reactive loop. Your agents can now handle uploads without manual intervention. Check what's in your storage using `drive_list_files` to verify current assets. This lets your code decide whether to overwrite or append based on what it actually sees.

Run complex queries in LangChain

Perform conditional logic on your stored data using `base_query_items`. Your agent analyzes the output to decide the next action in your pipeline. Use `base_update_item` to modify specific attributes once the query returns. This keeps your records accurate without needing to fetch and re-upload the entire object.

Setup guide

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

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Deta Space (Serverless Personal Cloud API) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "deta-space-serverless-personal-cloud-api-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Deta Space (Serverless Personal Cloud API) transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Deta Space. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Deta Space (Serverless Personal Cloud API) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

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

Install the necessary adapters and initialize the server via the HTTP transport. Point your client to the Vinkius endpoint to start calling tools directly in your code.

Yes, you can wrap tool calls in standard try-except blocks. LangSmith tracing will capture the exact point where a database or drive operation fails.

Vinkius handles the auth layer. Your agent only sees the scope provided by your token, ensuring your Deta records remain isolated from other processes.

Absolutely. You can sequence as many operations as your agent logic requires. Just map the output of one tool to the input of the next.

Your JSON records and files never leave your controlled cloud environment. The MCP protocol acts only as a bridge for your agent to execute authorized commands.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript