
Connect AI App Development Cost Estimator to your AI
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. 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.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 4 capabilities
We ship only the actions that matter.
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
Real work
What teams actually run
New Product Pitch
You are pitching a new AI app and need to show investors a clear, realistic total cost and timeline.
Scope Creep Assessment
A client adds a new feature mid-project. You use the MCP to quantify the extra time and money it will cost.
Vendor Comparison
You compare three vendors and use the MCP to generate a standardized, apples-to-apples cost estimate for each.
Pre-Development Planning
Before writing any code, you run the MCP to ensure the initial concept is both financially viable and time-bound.
One connector, every AI
AI Cost Estimator works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put AI Cost Estimator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
856ms average. Fast in production.
AI Cost Estimator is checked daily against the live service.
- Fastest day
- 735ms
- Slowest day
- 1133ms
- 14-day trend
- Slowing+7%
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
Guided setup for Claude? Set up AI Cost Estimator in Claude and other AIs
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.
- 05
How does this capability account for AI-specific costs?
The engine includes specific overhead for data curation, prompt engineering, and model evaluation within the calculate_total_estimate capability.
- 06
Can I check if my project timeline is realistic?
Yes, you can use the validate_timeline_feasibility capability to compare your proposed duration against the complexity and feature set of your AI application.
- 07
Does it estimate model API costs?
Yes, the estimate_model_expenses capability provides projections for both API-managed models and custom-trained solutions.
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Connect AI Cost Estimator to Claude, Cursor, ChatGPT & more
