How do I get a DoiT API Key?

Log in to your DoiT Console, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. Ensure your user has the necessary administrative permissions.

Which cloud platforms are supported?

DoiT supports major cloud providers including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

Can the agent show me real-time spending alerts?

Yes, you can use the list_cost_anomalies or list_critical_cost_spikes tools to identify unexpected spending increases across your infrastructure instantly.

DoiT MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: DoiT
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect DoiT through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "doit": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using DoiT, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 DoiT MCP Server

Integrate DoiT, the leading cloud cost management and optimization platform, directly into your AI workflow. Manage your multi-cloud assets across AWS, Google Cloud, and Microsoft Azure, monitor real-time cost anomalies and budgets, and track your cloud spending using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with DoiT through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Cloud Oversight — List and retrieve detailed configuration and cost data for all your cloud assets and connected accounts.
Anomaly Intelligence — Monitor real-time cost anomalies and unexpected spending spikes across your cloud infrastructure.
Budget Monitoring — Track cloud spending budgets, threshold limits, and current consumption percentages.
Cost Auditing — Retrieve high-level summaries of total cloud expenditure and identify high-severity cost spikes instantly.

The DoiT MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 DoiT to LangChain via MCP

Follow these steps to integrate the DoiT MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from DoiT via MCP

Why Use LangChain with the DoiT MCP Server

LangChain provides unique advantages when paired with DoiT through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine DoiT MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across DoiT queries for multi-turn workflows

DoiT + LangChain Use Cases

Practical scenarios where LangChain combined with the DoiT MCP Server delivers measurable value.

RAG with live data: combine DoiT tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query DoiT, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain DoiT tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every DoiT tool call, measure latency, and optimize your agent's performance

DoiT MCP Tools for LangChain (10)

These 10 tools become available when you connect DoiT to LangChain via MCP:

get_asset_details

Get detailed configuration and cost data for a specific cloud asset

get_billing_cost_summary

Retrieve a high-level summary of total cloud spending across all platforms

get_doit_account_metadata

Retrieve metadata for the current DoiT organization

list_cloud_assets

List all cloud assets (AWS, GCP, Azure) managed by DoiT

list_connected_cloud_accounts

List all connected AWS, GCP, or Azure accounts

list_cost_anomalies

List all detected cloud cost anomalies and unexpected spending spikes

list_cost_budgets

List all cloud spending budgets configured in DoiT

list_critical_cost_spikes

Identify high-severity cost anomalies that require immediate attention

list_exceeded_cost_budgets

Identify budgets that have exceeded their configured spending limits

search_cloud_assets

Search for cloud assets using a name keyword

Example Prompts for DoiT in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with DoiT immediately.

"Show me our total cloud cost summary."

"Are there any critical cost anomalies right now?"

"List all budgets that have exceeded 100% consumption."

Troubleshooting DoiT MCP Server with LangChain

Common issues when connecting DoiT to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

DoiT + LangChain FAQ

Common questions about integrating DoiT MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.