Does this MCP handle shared infrastructure costs?

Yes. It's built for multi-agent systems and allows you to distribute shared infrastructure expenses using methods like shared pool or activity-based billing.

What is the difference between calculate_agent_costs and get_resource_efficiency_summary?

The cost calculation capability gives you specific dollar amounts for individual agents. The efficiency summary gives you a single, high-level score showing how well the system performs relative to its total cost.

Can I use this for billing purposes?

Absolutely. You can use it to determine agent-specific billing, making it ideal for chargeback models where you need to track usage per department or team.

Is this MCP real-time?

The MCP provides current financial visibility and analyzes cost trends based on the data it processes, helping you track spending as it happens.

What allocation methods are supported?

The engine supports Direct Allocation, Shared Pool Allocation, and Activity-Based Allocation to distribute costs across agents.

How can I identify inefficient agents?

You can use analyze_cost_health to automatically flag optimization opportunities where agents have high costs but low success rates.

Does this include shared infrastructure costs?

Yes, by using the Shared Pool or Activity-Based methods in calculate_agent_costs, you can distribute costs from load balancers, databases, and monitoring to individual agents.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect Agent Cost Allocation Engine to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pinpoint exactly where your infrastructure spending goes.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Cost Allocation Engine.

01
Calculate agent costs
Computes the individual cost for every agent in the system using a specific allocation strategy
02
Analyze cost health
Evaluates system performance and identifies financial risks or inefficiencies
03
Get resource efficiency summary
Provides a high-level summary of how well the system is performing relative to its costs

Real work

What teams actually run

Quarterly Chargeback Audit

Need to bill different departments based on their agent usage? Use this MCP to calculate agent-specific billing via direct or shared pool methods.

Scaling Decision Modeling

Before adding a new agent, run an analysis to predict how the new workload will impact overall cost health and efficiency.

Identifying Wasteful Agents

Use the resource efficiency summary to quickly pinpoint which agent is consuming resources at an unusually high cost.

Budget Overrun Prevention

Periodically check the cost health to detect rising cost trends and adjust agent usage before hitting budget limits.

One connector, every AI

Agent Cost Allocation Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Agent Cost Allocation Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

933ms average. Fast in production.

Agent Cost Allocation Engine is checked daily against the live service.

Daily averagePeak 1180ms

Oct 3Today

Fastest day: 702ms
Slowest day: 1180ms
14-day trend: Slowing+24%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Agent Cost Allocation Engine, so you can see the experience inside your AI.

It does not authenticate your account with Agent Cost Allocation Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Agent Cost Allocation Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_lx6FEjlfIUgQK1qt50mLpLvir9E9jNtsPXipGtGB/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Agent Cost Allocation Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "agent-cost-allocation-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lx6FEjlfIUgQK1qt50mLpLvir9E9jNtsPXipGtGB/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Agent Cost Allocation Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Agent Cost Allocation Engine owners hand off.

This MCP is essential for FinOps teams, AI Architects, and CTOs who manage complex, multi-agent systems. If you're paying for infrastructure that runs multiple autonomous agents, you need this to prove where every dollar goes.

01
FinOps Analyst
Use this to generate precise chargeback reports and allocate shared infrastructure expenses accurately.
02
AI Architect
Use this to model different cost allocation strategies and identify which agent workloads are most expensive.
03
CTO / VP of Engineering
Use this to get a high-level resource efficiency summary and spot system-wide performance bottlenecks.

FAQ

Questions Agent Cost Allocation Engine owners ask.

01
Does this MCP handle shared infrastructure costs?
Yes. It's built for multi-agent systems and allows you to distribute shared infrastructure expenses using methods like shared pool or activity-based billing.
02
What is the difference between calculate_agent_costs and get_resource_efficiency_summary?
The cost calculation capability gives you specific dollar amounts for individual agents. The efficiency summary gives you a single, high-level score showing how well the system performs relative to its total cost.
03
Can I use this for billing purposes?
Absolutely. You can use it to determine agent-specific billing, making it ideal for chargeback models where you need to track usage per department or team.
04
Is this MCP real-time?
The MCP provides current financial visibility and analyzes cost trends based on the data it processes, helping you track spending as it happens.
05
What allocation methods are supported?
The engine supports Direct Allocation, Shared Pool Allocation, and Activity-Based Allocation to distribute costs across agents.
06
How can I identify inefficient agents?
You can use analyze_cost_health to automatically flag optimization opportunities where agents have high costs but low success rates.
07
Does this include shared infrastructure costs?
Yes, by using the Shared Pool or Activity-Based methods in calculate_agent_costs, you can distribute costs from load balancers, databases, and monitoring to individual agents.

Explore

More in Finance

Connect Agent Cost Allocation Engine to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Calculate agent costs

Analyze cost health

Get resource efficiency summary

What teams actually run

Quarterly Chargeback Audit

Scaling Decision Modeling

Identifying Wasteful Agents

Budget Overrun Prevention

Building your own app? The connector is yours to use.

Agent Cost Allocation Engine Connector

Claude Desktop

FinOps Analyst

AI Architect

CTO / VP of Engineering

Does this MCP handle shared infrastructure costs?

What is the difference between calculate_agent_costs and get_resource_efficiency_summary?

Can I use this for billing purposes?

Is this MCP real-time?

What allocation methods are supported?

How can I identify inefficient agents?

Does this include shared infrastructure costs?

AI Multi-Tenant Isolation Cost Modeler AI Connector

Multi-Modal AI Economics Engine AI Connector

Cost-Controlled Tool Selector AI Connector

Multi-Tenant Isolation Calculator AI Connector

Suggestions

OpenCost (K8s Cost) AI Connector

AI Infrastructure Cost Optimizer AI Connector

Multi-Agent Coordination Pattern Validator AI Connector

Alcohol Cost-per-Buzz Calculator AI Connector