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Costable — Parametric Should-Cost Analysis

io.github.1337mofo/costableVersion 1.0.0

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

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Last checked
Nov 14, 2026, 14:34 UTC
Latency
525 ms
Remotes responding
1 of 1
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Hosting
Hosted outside the EU (detected)
Registry data as of
Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://costable.ai/api/mcpResponds525 ms
No sign-in

Claude Code

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

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: costable
Remote MCP server URL: https://costable.ai/api/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"costable","type":"http","url":"https://costable.ai/api/mcp"}'

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Tools

10 tools

Tools of Costable — Parametric Should-Cost Analysis
Read-only
Idempotent
Open world
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.Not declaredNot declaredNot declaredNot declared
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.Not declaredNot declaredNot declaredNot declared
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).Not declaredNot declaredNot declaredNot declared
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.Not declaredNot declaredNot declaredNot declared
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.Not declaredNot declaredNot declaredNot declared
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 building a full cost model.Not declaredNot declaredNot declaredNot declared
get_labour_ratesGet manufacturing labour rates ($/hr) for all skill levels in a given country. Data covers 16 skill levels across 25 countries (ILO/BLS/ABS sourced).Not declaredNot declaredNot declaredNot declared
review_supplier_quoteAnalyse a supplier quote against Costable's should-cost benchmarks. Returns a line-by-line delta (% over/under should-cost), verdict (LOW / COMPETITIVE / HIGH / VERY HIGH), and a list of the top items to challenge in negotiation.Not declaredNot declaredNot declaredNot declared
search_materialsSearch the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and strength properties.Not declaredNot declaredNot declaredNot declared
search_processesSearch the Costable manufacturing process database (41 processes). Returns process name, category, machine rate ($/hr), and cycle time model.Not declaredNot declaredNot declaredNot declared

Details

Registry status
Active
Published
Aug 22, 2026
Updated
Aug 22, 2026
Website
Not given
Repository
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Categories
Uncategorized
GDPR
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