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Costable — Parametric Should-Cost Analysis

io.github.1337mofo/costable · v1.0.0

Parametric should-cost: P50/P80/P90 estimates, 801 materials, 25 countries, quote review.

Connect Remote server

Terminal
claude mcp add --transport http costable https://costable.ai/api/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "costable": {
      "url": "https://costable.ai/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "costable": {
      "type": "http",
      "url": "https://costable.ai/api/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://costable.ai/api/mcp

Tools 10 found in our last check

  • estimate_part

    Instantly estimate the should-cost of a manufactured part using natural language. Returns P50 (median), P80 and P90 cost-at-risk per unit based on Monte Carlo simulation of material price variance, labour rate variance and cycle time uncertainty. Use this for quick feasibility c…

  • search_materials

    Search the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and strength properties.

  • search_processes

    Search the Costable manufacturing process database (41 processes). Returns process name, category, machine rate ($/hr), and cycle time model.

  • get_labour_rates

    Get manufacturing labour rates ($/hr) for all skill levels in a given country. Data covers 16 skill levels across 25 countries (ILO/BLS/ABS sourced).

  • create_cost_model

    Create a new parametric cost model in Costable. Returns the model ID which is used by add_material_to_model, add_process_to_model, calculate_cost_model, and compare_manufacturing_countries.

  • add_material_to_model

    Add a material (BOM line) to an existing cost model. Searches the materials database by name query — no need for exact IDs.

  • add_process_to_model

    Add a manufacturing process step to an existing cost model. Searches the process database by name query — no need for exact IDs.

  • calculate_cost_model

    Run the Monte Carlo should-cost calculation on a cost model. Returns P50 (median), P80 and P90 cost-at-risk per unit, plus a full cost breakdown (material, labour, machine, overhead, margin).

  • compare_manufacturing_countries

    Run the cost model across multiple manufacturing countries simultaneously to identify the optimal sourcing location. Returns P50/P80/P90 per country and % delta vs baseline.

  • review_supplier_quote

    Analyse a supplier quote against Costable's should-cost benchmarks. Returns a line-by-line delta (% over/under should-cost), verdict (LOW / COMPETITIVE / HIGH / VERY HIGH), and a list of the top items to challenge in negotiation.

Details

Endpointhttps://costable.ai/api/mcp (Streamable HTTP)
First published22 Aug 2026
Last updated22 Aug 2026
Registry nameio.github.1337mofo/costable

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