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 LlamaIndex 10 tools — connect in under 2 minutes

Name: DoiT
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 DoiT 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 DoiT. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine DoiT 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

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 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 DoiT to LlamaIndex via MCP

Follow these steps to integrate the DoiT 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 DoiT

Why Use LlamaIndex with the DoiT MCP Server

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

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

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

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

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

DoiT + LlamaIndex Use Cases

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

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

Data enrichment: query DoiT 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 DoiT for fresh data

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

DoiT MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect DoiT to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

DoiT + LlamaIndex FAQ

Common questions about integrating DoiT 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.