FPS Hardware Bottleneck Estimator Connector for AI agents.
3 live capabilities
See exactly how your PC hardware handles specific games at any resolution.
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Why people use FPS Hardware Bottleneck Estimator
FPS Hardware Bottleneck Estimator: End the Guesswork of PC Upgrades
This Connector cuts through the noise. You just tell your agent what you have and what you want to play. It runs the numbers to show you exactly where the slowdown is happening and what part will actually fix it. You get a clear plan instead of a forum thread.
What Vinkius changes
You get data-driven predictions for gaming performance instead of guessing which parts to buy.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Diagnosing stuttery gameplay
A gamer wants to know if their Ryzen 5600 can handle Cyberpunk at 1440p.
- Real-world use case 02
Predicting the value of a GPU swap
Someone is considering an RTX 4080 upgrade.
- Real-world use case 03
Planning a budget-friendly upgrade
A builder has a limited budget.
Complete set · 3capabilities
The complete FPS Hardware Bottleneck Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with FPS Hardware Bottleneck Estimator.
01—03
3 capabilities in this set.
Part of 3 available through FPS Hardware Bottleneck Estimator.
- 01 Capability
Estimate performance
Get an estimate of the average FPS and 1% lows for a specific game and hardware setup.
- 02 Capability
Simulate upgrade
See how much your frame rate will actually improve if you swap out one specific component.
- 03 Capability
Identify optimal path
Find out which hardware upgrade will give you the biggest performance jump for your favorite titles.
Set up in minutes
One URL. Then ask FPS Hardware Bottleneck Estimator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use FPS Hardware Bottleneck Estimator 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_S7cK6b9OPO2qe4sGE5Fv3iHMt107flb3udk9aDlk/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 FPS Hardware Bottleneck Estimator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable FPS Hardware Bottleneck Estimator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_S7cK6b9OPO2qe4sGE5Fv3iHMt107flb3udk9aDlk/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 FPS Hardware Bottleneck Estimator URL.
- Step 03
Save and start
Save the connection and enable FPS Hardware Bottleneck Estimator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"fps-hardware-bottleneck-estimator": {
"url": "https://edge.vinkius.com/vk_preview_S7cK6b9OPO2qe4sGE5Fv3iHMt107flb3udk9aDlk/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 FPS Hardware Bottleneck Estimator
Open Agent mode in chat and ask: "Using FPS Hardware Bottleneck Estimator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"fps-hardware-bottleneck-estimator": {
"url": "https://edge.vinkius.com/vk_preview_S7cK6b9OPO2qe4sGE5Fv3iHMt107flb3udk9aDlk/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 FPS Hardware Bottleneck Estimator
Ask Copilot: "Using FPS Hardware Bottleneck Estimator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"fps-hardware-bottleneck-estimator": {
"url": "https://edge.vinkius.com/vk_preview_S7cK6b9OPO2qe4sGE5Fv3iHMt107flb3udk9aDlk/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 FPS Hardware Bottleneck Estimator
Open Cascade and ask: "Using FPS Hardware Bottleneck Estimator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"fps-hardware-bottleneck-estimator": {
"url": "https://edge.vinkius.com/vk_preview_S7cK6b9OPO2qe4sGE5Fv3iHMt107flb3udk9aDlk/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 FPS Hardware Bottleneck Estimator
Ask Cline: "Using FPS Hardware Bottleneck Estimator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add fps-hardware-bottleneck-estimator --transport http "https://edge.vinkius.com/vk_preview_S7cK6b9OPO2qe4sGE5Fv3iHMt107flb3udk9aDlk/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 FPS Hardware Bottleneck Estimator
Ask Claude: "Using FPS Hardware Bottleneck Estimator, show me...". 3 tools are ready
Where the request belongs
Work FPS Hardware Bottleneck Estimator can move forward.
This is for PC enthusiasts who want to maximize their frame rates without wasting money on parts that won't make a difference.
PC Builder
Planning a new rig and need to know which parts offer the best value for specific games.
Gaming Enthusiast
Trying to figure out why their current setup isn't hitting the target frame rate at 4K.
Tech Support
Helping customers diagnose hardware limitations without having to physically test every configuration.
Build the capability set
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HowLongToBeat
Universal game completion data. get gameplay hours for any video game via AI.
Bring your own AI
Change the model, client or framework. Keep FPS Hardware Bottleneck Estimator connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
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Amp -
Qodo -
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Pieces -
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Raycast -
Jan -
LM Studio -
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Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about FPS Hardware Bottleneck Estimator.
The practical details behind the request, access and result.
How does the FPS Hardware Bottleneck Estimator help me save money?
It shows you which parts actually matter for your specific games. By identifying the real bottleneck, you avoid buying components that won't improve your frame rate.
Can the FPS Hardware Bottleneck Estimator predict performance for any game?
It works with popular titles to give you a realistic idea of how your hardware will handle them at different resolutions like 1080p or 4K.
Does the FPS Hardware Bottleneck Estimator tell me if my CPU is the problem?
Yes, it analyzes the relationship between your CPU and GPU to tell you exactly which one is limiting your performance.
How accurate are the FPS Hardware Bottleneck Estimator predictions?
It uses a simulation engine to model hardware throughput, giving you a reliable estimate of average FPS and 1% lows based on your specs.
Can I use the FPS Hardware Bottleneck Estimator to plan a full PC build?
You can use it to see how different combinations of parts will perform together, helping you choose the best components for your budget.
What is a 1% low and why does the FPS Hardware Bottleneck Estimator show it?
1% lows represent the lowest frame drops you'll see during intense moments. The capability helps you see if your game will feel smooth or stuttery.
How accurate are the FPS predictions?
Predictions are based on a comprehensive database of benchmark averages for top-tier GPUs and CPUs across popular modern titles, providing highly realistic estimates for different resolutions.
What does it mean if my system is 'CPU-bound'?
A CPU-bound state means your processor cannot prepare instructions fast enough for the graphics card, which often happens at lower resolutions like 1080p with high-end GPUs.
Can I use this to plan a PC build?
Yes, by using simulate_upgrade or identify_optimal_path, you can evaluate how different hardware combinations will perform in specific games before purchasing components.
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