# Multi-Agent Parallelization Optimizer AI Agent Connect

> Optimize agent workflow execution timing and resource efficiency.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_5eSitOVoMcOP6OBiWrt54MlGHlgep5wqBhPvBlib/ai-agent-connect
- **Tags:** agents, parallelization, efficiency, scheduling, workflow-optimization

## Description

This MCP server provides a deterministic engine to optimize the execution timing and resource efficiency of multi-agent workflows. By analyzing task dependencies and communication costs, it calculates critical path durations, worker utilization, and speedup ratios. Use `analyze_workflow_efficiency` to find the optimal worker count for your specific task set, or `find_critical_path_bottlenecks` to identify tasks delaying your workflow. It also includes `simulate_scaling_impact` to predict how adding more workers will affect performance.

## Tools

### analyze_workflow_efficiency
Evaluates the performance metrics of a specific agent workflow configuration

### find_critical_path_bottlenecks
Identifies which specific tasks are preventing the workflow from finishing faster

### simulate_scaling_impact
Predicts how increasing the number of workers will affect the total execution time and speedup

## Prompt Examples

**Prompt:** 
```
Analyze the efficiency of these tasks: [{'task_id': 'A', 'duration_ms': 100, 'dependencies': []}, {'task_id': 'B', 'duration_ms': 200, 'dependencies': ['A']}] with 2 workers and 10ms overhead.
```

**Response:** 
```
The critical path duration is 300ms, the actual duration with 2 workers is 300ms, and the speedup ratio is 1.0.
```

**Prompt:** 
```
Which tasks are the bottlenecks in this workflow: [{'task_id': '1', 'duration_ms': 50, 'dependencies': []}, {'task_id': '2', 'duration_ms': 150, 'dependencies': ['1']}]?
```

**Response:** 
```
The bottleneck tasks are task 1 and task 2, with a total critical path duration of 200ms.
```

**Prompt:** 
```
Simulate scaling for these tasks up to 5 workers with 5ms overhead: [{'task_id': 'T1', 'duration_ms': 100, 'dependencies': []}, {'task_id': 'T2', 'duration_ms': 100, 'dependencies': []}]
```

**Response:** 
```
With 1 worker, the duration is 200ms. With 2 workers, the duration is 105ms due to communication overhead.
```

## Frequently Asked Questions

**How do I find the best number of workers for my tasks?**
You can use the `analyze_workflow_efficiency` tool. It calculates the `optimal_worker_count`, which is the point where adding more workers provides less than a 10% improvement in duration.

**What is the critical path in my workflow?**
The critical path is the longest sequence of dependent tasks. You can identify these specific tasks using the `find_critical_path_bottlenecks` tool.

**Can I predict how scaling will affect my speedup?**
Yes, the `simulate_scaling_impact` tool allows you to simulate different worker counts to see how they affect total execution time and the speedup ratio.