Agent Token Budget Allocator

Agent Token Budget Allocator MCP Connector for Claude

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Deterministic token budget allocation for multi-agent pipelines.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a deterministic engine for distributing token limits across multi-agent workflows. It prevents budget overruns by calculating exact allocations using weighted priority distribution. The server includes tools like allocate_agent_budgets to slice the total budget, evaluate_overflow_risk to assess statistical probability of exceeding limits, and calculate_truncation_strategies to identify specific token indices for context pruning. It is designed to manage complex AI pipelines by handling shared context and flagging high-risk configurations.

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

calculate_truncation_strategies

Determines exactly where to prune context for each agent to stay within their specific budget

evaluate_overflow_risk

Assesses the statistical probability of a pipeline exceeding its budget based on historical volatility

allocate_agent_budgets

Calculates the specific token allocation for every agent in a multi-agent pipeline using weighted priority

See how to talk to your AI agent using Agent Token Budget Allocator.

Calculate the token budget for three agents with a total budget of 10000, 500 shared tokens, and priorities 1, 2, and 3.

The available budget is 9500 tokens. Based on the weighted distribution, the allocations are assigned according to the priority-usage product of each agent.

How can I check if my pipeline is at risk of exceeding its budget?

You can use the `evaluate_overflow_risk` tool by providing your current allocations and the historical variance of your agents' token usage.

What happens if a single agent is assigned more than 50% of the total budget?

The system will trigger a constraint flag indicating that a single agent's allocation consumes more than half of the total resources, signaling a high-risk pipeline design.

The server uses weighted distribution. An agent's budget is calculated by multiplying its priority and estimated usage, then dividing by the sum of those products for all agents, and finally multiplying by the available budget.

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