io.github.1337mofo/costable

up checked 2026-11-11T11:38:21.134Z

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Publisher-provided title

Costable — Parametric Should-Cost Analysis

Publisher-provided description

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

Summary by lookupd

Estimates manufacturing should-cost with Monte Carlo P50/P80/P90 figures, compares sourcing countries, reviews supplier quotes, and…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http costable https://costable.ai/api/mcp

Codex, remote (streamable-http)

codex mcp add costable --url https://costable.ai/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "costable": {
      "url": "https://costable.ai/api/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (10 tools)

Publisher-provided text

• 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 s
• 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 com
• 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, labo
• 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
• 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 /

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 1946 ms
• First indexed: 2026-11-01T09:03:14.128Z
• Last seen in registry: 2026-11-01T09:03:14.128Z

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