Connect-MCP

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.

MCPremoteno credentialsDatabases

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 10 tools, protocol 2024-11-05 · checked 2026-10-17

Test & rating

A 87/100

What it does: 10 tools · 6 read, 3 write · Databases

Test call search_materials: worked (2,727 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +2
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://costable.ai/api/mcp

Tools

10 tools listed at 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 checks before building
  • 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.

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