LLM API Cost Calculator Connector for AI agents.
4 live capabilities
Forecast your AI project spending and compare provider pricing.
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Why people use LLM API Cost Calculator
LLM API Cost Calculator for AI Project Costing
This Connector puts that data into a single conversation. You just tell your agent what you are planning to build, and it gives you the numbers. You get a clear financial roadmap instead of a spreadsheet full of variables.
What Vinkius changes
You get clear, data-backed spending projections instead of rough guesses.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Validating feature profitability
A product manager wants to know if a new feature will be profitable.
- Real-world use case 02
Model swapping for cost savings
A dev team wants to know if they should switch to a smaller model.
- Real-world use case 03
Managing startup burn rates
A startup is hitting a spending limit.
Complete set · 4capabilities
The complete LLM API Cost Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with LLM API Cost Calculator.
01—04
4 capabilities in this set.
Part of 4 available through LLM API Cost Calculator.
- 01 Capability
Compute request cost
Get the exact dollar amount for a single interaction based on input and output tokens. This helps you understand the unit cost of your features.
- 02 Capability
Calculate cache impact
See how much money you save when your prompt caching hits a high success rate. It helps you justify your technical optimizations with real numbers.
- 03 Capability
Compare providers
Look at a side-by-side analysis of different pricing tiers to find the cheapest option. This makes it easier to swap models without budget surprises.
- 04 Capability
Estimate monthly spend
Project your total 30-day expenditure using your average daily request volume. Use this to set realistic budgets for your stakeholders.
Set up in minutes
One URL. Then ask LLM API Cost Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LLM API Cost 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_kJ7vtlOfVbB3mYe7tCKK0Sz4MTZKFnSeYxrrgdxC/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 LLM API Cost Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LLM API Cost Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kJ7vtlOfVbB3mYe7tCKK0Sz4MTZKFnSeYxrrgdxC/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 LLM API Cost Calculator URL.
- Step 03
Save and start
Save the connection and enable LLM API Cost Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-api-cost-calculator": {
"url": "https://edge.vinkius.com/vk_preview_kJ7vtlOfVbB3mYe7tCKK0Sz4MTZKFnSeYxrrgdxC/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 LLM API Cost Calculator
Open Agent mode in chat and ask: "Using LLM API Cost Calculator, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-api-cost-calculator": {
"url": "https://edge.vinkius.com/vk_preview_kJ7vtlOfVbB3mYe7tCKK0Sz4MTZKFnSeYxrrgdxC/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 LLM API Cost Calculator
Ask Copilot: "Using LLM API Cost Calculator, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-api-cost-calculator": {
"url": "https://edge.vinkius.com/vk_preview_kJ7vtlOfVbB3mYe7tCKK0Sz4MTZKFnSeYxrrgdxC/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 LLM API Cost Calculator
Open Cascade and ask: "Using LLM API Cost Calculator, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"llm-api-cost-calculator": {
"url": "https://edge.vinkius.com/vk_preview_kJ7vtlOfVbB3mYe7tCKK0Sz4MTZKFnSeYxrrgdxC/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 LLM API Cost Calculator
Ask Cline: "Using LLM API Cost Calculator, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add llm-api-cost-calculator --transport http "https://edge.vinkius.com/vk_preview_kJ7vtlOfVbB3mYe7tCKK0Sz4MTZKFnSeYxrrgdxC/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 LLM API Cost Calculator
Ask Claude: "Using LLM API Cost Calculator, show me...". 4 tools are ready
Where the request belongs
Work LLM API Cost Calculator can move forward.
For AI engineers and product leads who need to keep a lid on their cloud spend. It is for the person who has to justify the ROI of a new feature to a CFO who does not know what a token is.
AI Product Manager
They use it to build realistic price points for new features on a Tuesday afternoon.
LLMOps Engineer
They use it to audit current usage and find cheaper alternatives for high-volume tasks.
Startup Founder
They use it to manage burn rates while scaling their user base and monitoring margins.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Monitor LLM usage via Helicone. track requests, analyze costs, measure latency, and manage prompts.
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New Relic AI (LLM Observability)
Monitor and audit LLM telemetry via New Relic AI. track token costs, p95 latency, and user feedback.
Bring your own AI
Change the model, client or framework. Keep LLM API Cost Calculator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
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Vercel AI SDK
Before you connect
Questions about LLM API Cost Calculator.
The practical details behind the request, access and result.
Can the LLM API Cost Calculator help me set a monthly budget?
Yes. It uses your estimated daily request volume to project your total 30-day expenditure so you can set accurate budgets for your team.
How does this capability help me choose between different AI models?
It provides a side-by-side analysis of different pricing tiers, making it easy to see which model hits the best price point for your specific token usage.
Can I see how much I save with prompt caching?
Yes. It calculates the specific dollar impact of your cache hits so you can see the real-world ROI of your technical optimizations.
Is this for real-time billing?
No, this capability is for projection and comparison. It helps you plan your spending and compare models rather than monitoring live usage.
How accurate are the cost projections?
The projections are highly accurate as they are based on the specific pricing data provided by the model providers you choose to analyze.
Can I use this to see the cost of a single user interaction?
Yes. You can break down the exact cost of a single request based on your specific input and output token counts.
How is the monthly cost calculated?
The capability calculates the cost of a single request based on your input and output tokens, then multiplies that by your estimated daily requests and 30 days.
Can I compare different models like GPT-4o and Claude?
Yes, by using the compare_providers capability, you can input multiple tier IDs to see a ranked list of costs from cheapest to most expensive.
Does the calculator account for prompt caching?
Yes, you can use calculate_cache_impact to determine how much a specific cache hit ratio will reduce your input token costs.
One connection away
Give your agent a direct line to LLM API Cost Calculator.
Connect LLM API Cost Calculator once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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