How to Use the Construction Cost Estimator MCP in Claude Code

Run construction cost estimates with Claude Code; perfect for headless CI/CD pipelines.

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Connect Construction Cost Estimator MCP to Claude Code

Create your Vinkius account to connect Construction Cost Estimator to Claude Code — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Construction Cost Estimator with Claude Code

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Scripted Cost Estimates via MCP Server

Write a script that calls the Construction Cost Estimator. First, run `get_region_cost_index` to retrieve baseline data for a target location and month. Then, use `calculate_standard_multiplier` with area metrics to adjust the rates. The final step is calling `estimate_total_cost_range`, which outputs the total cost bracket needed for your pipeline results.

Building Costing Logic in Claude Code

You can automate feasibility checks entirely from the terminal. A script pulls regional indices, determines the standard multiplier based on quality and area inputs, and then calculates the full cost range estimate. It's designed for non-interactive environments where you just need a definitive output.

Execute MCP Server in Claude Code

The server runs complex math headless. Your script executes the required steps: retrieving local indices, running the multiplier calculation based on area/quality, and finally printing the total cost range estimate. Everything is handled via standard input or HTTP transport.

Setup guide

Set up Construction Cost Estimator MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see construction-cost-estimator-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Construction Cost Estimator transactions." It will automatically discover and invoke the available Construction Cost Estimator tools.

Terminal

claude mcp add --transport http construction-cost-estimator-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Construction Cost Estimator MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "construction-cost-estimator-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Construction Cost Estimator MCP in Claude Code

You execute it via a command line call. Your script sequences the tools: get region index, calculate standard multiplier, and then print the total cost range estimate.

Yes. Since it requires no GUI or browser, you can run this MCP Server in a Docker container or GitHub Action to validate costs as part of your deployment process.

The server reads region codes, area measurements, and desired quality standards. The output is the final cost range estimate, which you can easily pipe to other scripts.

Because it's headless, absolutely. You just need to set up your script to call the MCP Server and capture the cost range estimate output for logging.

It processes strings (like region names) and numerical inputs (area, quality), generating a final formatted cost range estimate that's easy to parse in shell scripts.

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