MCP For Claude Marketplace
Agent Parallel Execution Optimizer

Agent Parallel Execution Optimizer MCP Connector for Claude

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Optimize task distribution and efficiency metrics for agent swarms.

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

This MCP server provides a deterministic optimization engine for managing agent swarms. It uses a greedy scheduling approach to calculate optimal task assignments, makespan, and worker utilization. Use optimize_execution_schedule to find the best worker distribution, analyze_resource_bottlenecks to identify capacity or communication constraints, and simulate_migration_impact to estimate the cost of rebalancing tasks. It is designed to help orchestrate complex parallel workloads across heterogeneous worker pools.

swarmschedulingparallelismefficiencyoptimization

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

simulate_migration_impact

Estimates cost/benefit of rebalancing tasks

analyze_resource_bottlenecks

Identifies capacity or communication bottlenecks

optimize_execution_schedule

See how to talk to your AI agent using Agent Parallel Execution Optimizer.

Calculate the optimal schedule for these tasks: [{ 'taskId': 'T1', 'durationMs': 500, 'resourceRequirements': 10, 'dependencies': [] }, { 'taskId': 'T2', 'durationMs': 300, 'resourceRequirements': 5, 'dependencies': ['T1'] }] with workers [{ 'workerId': 'W1', 'capacity': 15 }] and 50ms overhead.

The optimal assignment is T1 to W1 and T2 to W1, resulting in a makespan of 800ms and 100% utilization.

Check if my current swarm configuration has a bottleneck.

The analysis shows a communication bottleneck because the overhead exceeds 20% of the total makespan.

What is the optimal number of workers for this task set?

The optimal worker count is 4, as adding a 5th worker provides less than a 10% improvement in speedup.

The engine uses a greedy algorithm that prioritizes the longest tasks and assigns them to the least-loaded worker that meets the resource requirements.

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