Use AI Cost Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Know the true cost and timeline before you write a line of code.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete AI Cost Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with AI Cost Estimator.
01-04
4 capabilities in this set.
Part of 4 available through AI Cost Estimator.
- 01
Analyze integration impact
Determines how many additional engineering hours and costs are added by external integrations
- 02
Calculate total estimate
Provides a comprehensive breakdown of the total project cost, component breakdown, and projected timeline
- 03
Estimate model expenses
Estimates the recurring or upfront costs specifically associated with the chosen AI models
- 04
Validate timeline feasibility
Checks if the requested development timeline is realistic given the complexity and feature set
Observed, not estimated
841ms average. Fast in production.
AI Cost Estimator is checked daily against the live service.
- Fastest day
- 755ms
- Slowest day
- 970ms
- 14-day trend
- Stable0%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Cost Estimator, so you can see the experience inside your AI.
It does not authenticate your account with AI Cost Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Cost Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_I0xKguAuLdhUuNJuJ7kFz8V0yIFYwKTOoH3nyv72/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI Cost Estimator capabilities are ready to use.
{
"mcpServers": {
"ai-app-development-cost-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_I0xKguAuLdhUuNJuJ7kFz8V0yIFYwKTOoH3nyv72/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Who it's for
Built for the work AI Cost Estimator owners hand off.
Product Managers, CTOs, and technical consultants use this MCP to ground their project plans in financial reality. Instead of presenting optimistic timelines, you use this capability to provide accurate, data-backed cost estimates and realistic schedules.
- 01
Product Manager
Determines the scope and features, then uses the MCP to get a realistic total cost estimate.
- 02
CTO
Validates the technical feasibility and timeline of large-scale AI initiatives.
- 03
Technical Consultant
Provides clients with detailed, accurate financial breakdowns for new software development projects.
FAQ
Questions AI Cost Estimator owners ask.
- 01
Does this MCP calculate labor costs?
Yes, the total estimate includes a breakdown of component costs, which accounts for the necessary engineering hours and development effort.
- 02
What kind of costs does it cover?
It covers three main areas: the total project cost, the specific expenses associated with the AI models, and the added costs from external system integrations.
- 03
Can I use this if I don't know the exact model I'll use?
You can estimate model expenses by providing the type of model and the complexity, allowing the MCP to project the necessary recurring or upfront costs.
- 04
Is the timeline check guaranteed to be accurate?
The MCP validates the timeline by comparing your requested schedule against the project's complexity and feature set, giving you a feasibility assessment.
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