MCP For Claude Marketplace
Agent Cost Allocation Engine

Agent Cost Allocation Engine MCP Connector for Claude

A+

Deterministic cost allocation and chargeback calculator for multi-agent systems.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides precise financial visibility into multi-agent ecosystems. It enables AI agents to calculate exact costs for individual workloads, distribute shared infrastructure expenses, and identify efficiency gaps. Use calculate_agent_costs to determine agent-specific billing via direct, shared pool, or activity-based methods. Utilize analyze_cost_health to detect cost trends and optimization opportunities, or get_resource_efficiency_summary for high-level performance metrics across the entire system.

cost-allocationmulti-agentchargebackefficiencyinfrastructure

3 tools expose this connector's capabilities to your AI agent.

calculate_agent_costs

Computes the individual cost for every agent in the system using a specific allocation strategy

analyze_cost_health

Evaluates system performance and identifies financial risks or inefficiencies

get_resource_efficiency_summary

Provides a high-level summary of how well the system is performing relative to its costs

See how to talk to your AI agent using Agent Cost Allocation Engine.

Calculate the costs for my agents using the shared pool method.

The total cost for Agent-A is $12.50 and for Agent-B is $8.75, including their share of the infrastructure.

Is my system's cost increasing too fast?

No, the current cost trend shows a 5% increase, which is within your 20% threshold.

Give me a summary of our resource efficiency.

The average cost per successful request is $0.05, with an efficiency score of 15.2. Agent-X is currently the highest cost agent.

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

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