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Costable — Parametric Should-Cost Analysis
io.github.1337mofo/costable · v1.0.0
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2024-11-05 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 10 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Parametric should-cost: P50/P80/P90 estimates, 801 materials, 25 countries, quote review.
Connect
streamable-http · https://costable.ai/api/mcp
claude mcp add --transport http costable https://costable.ai/api/mcp{
"mcpServers": {
"costable": {
"url": "https://costable.ai/api/mcp"
}
}
}Tools as reported by the server
estimate_partInstantly 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 buildingsearch_materialsSearch the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and strength properties.search_processesSearch the Costable manufacturing process database (41 processes). Returns process name, category, machine rate ($/hr), and cycle time model.get_labour_ratesGet manufacturing labour rates ($/hr) for all skill levels in a given country. Data covers 16 skill levels across 25 countries (ILO/BLS/ABS sourced).create_cost_modelCreate 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_modelAdd a material (BOM line) to an existing cost model. Searches the materials database by name query — no need for exact IDs.add_process_to_modelAdd a manufacturing process step to an existing cost model. Searches the process database by name query — no need for exact IDs.calculate_cost_modelRun 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_countriesRun 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_quoteAnalyse 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.
JSON · Text for agents · Registry updated 2026-08-22