Agent Composition Pattern Calculator Connector for AI agents.
3 live capabilities
Predict agent orchestration latency and workflow efficiency
Waiting for input…
Why people use Agent Composition Pattern Calculator
Eliminate agent orchestration guesswork with Agent Composition Pattern Calculator
This MCP replaces that guesswork with math. Instead of running live agents, you feed your workflow structure into the calculator. You get a clear picture of where the delays are and which pattern actually works. You stop guessing and start engineering.
What Vinkius changes
You get a mathematical blueprint of your agent's performance before you spend a cent on compute.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,400+ Connectors
- Real-world use case 01
Reducing latency in customer support bots
An engineer uses evaluate_optimization_strategy to switch a sequential support chain to a parallel pattern, cutting response times by 60%.
- Real-world use case 02
Debugging slow research agents
A developer uses analyze_bottlenecks to discover that a specific web-search agent is stalling the entire research pipeline.
- Real-world use case 03
Cost-effective data processing
An architect uses get_execution_plan to model a map-reduce pattern, ensuring the agentic workload stays within budget.
Complete set · 3capabilities
The complete Agent Composition Pattern Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Composition Pattern Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Agent Composition Pattern Calculator.
- 01 Capability
Analyze bottlenecks
Pinpoints the exact agent causing delays in a completed execution plan. It helps you find where to optimize to speed up the whole chain.
- 02 Capability
Evaluate optimization strategy
Compares different orchestration patterns to find the best fit for your goals. It picks the winner based on speed, cost, or quality.
- 03 Capability
Get execution plan
Generates a full performance report for a specific agent workflow. You get the exact timing and efficiency metrics for your design.
Set up in minutes
One URL. Then ask Agent Composition Pattern Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Agent Composition Pattern Calculator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Agent Composition Pattern Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Agent Composition Pattern Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Agent Composition Pattern Calculator URL.
- Step 03
Save and start
Save the connection and enable Agent Composition Pattern Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-composition-pattern-calculator": {
"url": "https://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Agent Composition Pattern Calculator
Open Agent mode in chat and ask: "Using Agent Composition Pattern Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-composition-pattern-calculator": {
"url": "https://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Agent Composition Pattern Calculator
Ask Copilot: "Using Agent Composition Pattern Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-composition-pattern-calculator": {
"url": "https://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Agent Composition Pattern Calculator
Open Cascade and ask: "Using Agent Composition Pattern Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-composition-pattern-calculator": {
"url": "https://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Agent Composition Pattern Calculator
Ask Cline: "Using Agent Composition Pattern Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agent-composition-pattern-calculator --transport http "https://edge.vinkius.com/vk_preview_W49efn7f1ktGHy5Wuu8X4MDPfiDxCAZpEORPqbtx/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Agent Composition Pattern Calculator
Ask Claude: "Using Agent Composition Pattern Calculator, show me...". 3 tools are ready
Where the request belongs
Work Agent Composition Pattern Calculator can move forward.
This is for the engineers and architects building autonomous systems who can't afford unpredictable latency or runaway costs.
AI Engineer
Testing how a new multi-agent architecture will scale under different orchestration patterns.
LLM Ops Specialist
Identifying why a production agentic workflow is hitting latency spikes.
Product Architect
Balancing the trade-offs between high-quality reasoning and response speed for user-facing apps.
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Bring your own AI
Change the model, client or framework. Keep Agent Composition Pattern Calculator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
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Before you connect
Questions about Agent Composition Pattern Calculator.
The practical details behind the request, access and result.
How can the Agent Composition Pattern Calculator help me reduce agent latency?
It allows you to simulate different orchestration patterns like parallel or router-based workflows to see which one results in the lowest total time before you deploy.
Can I use the Agent Composition Pattern Calculator to find slow agents in my workflow?
Yes, you can identify the specific agent causing delays in your agentic chains, allowing you to target your optimization efforts where they matter most.
Is the Agent Composition Pattern Calculator useful for cost management?
Absolutely. By modeling different execution paths, you can compare the efficiency of various patterns to find the one that best meets your budget constraints.
Does the Agent Composition Pattern Calculator work with any agent framework?
Yes, this MCP provides mathematical modeling that applies to any agentic orchestration, regardless of which specific framework or client you are using.
How does the Agent Composition Pattern Calculator compare parallel and sequential workflows?
It calculates the mathematical difference in total execution time between running agents one after another versus running them simultaneously, helping you choose the fastest path.
How do I calculate the best pattern for my agents?
Use the evaluate_optimization_strategy capability. Provide your agent chain and your optimization goal, and it will simulate all patterns to recommend the best one.
What is a bottleneck agent?
A bottleneck agent is the specific agent in your chain whose latency contributes most significantly to the total workflow delay. You can identify it using analyze_bottlenecks.
Can I optimize for cost instead of speed?
Yes, you can set your optimizationGoal to minimize_cost when calling capabilities like get_execution_plan or evaluate_optimization_strategy.
One connection away
Give your agent a direct line to Agent Composition Pattern Calculator.
Connect Agent Composition Pattern Calculator once. Keep it beside 6,400+ managed Connectors when the next task needs more.
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