Mmcp.market

Costable — Parametric Should-Cost Analysis MCP server

by 1337mofo·io.github.1337mofo/costable·v1.0.0

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

C57/100grade C
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C57/100

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Costable — Parametric Should-Cost Analysis tools (10, 3 write)

write = sends, deletes, buys or posts
  • add_material_to_modelFree

    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_modelFree

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

  • calculate_cost_modelwrite actionFree

    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_countrieswrite actionFree

    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.

  • create_cost_modelwrite actionFree

    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.

  • estimate_partFree

    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 a full cost model.

  • get_labour_ratesFree

    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).

  • review_supplier_quoteFree

    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.

  • search_materialsFree

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

  • search_processesFree

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

Public scan report

scanner v0.1.9 · 2026-09-21 · same rubric, same numbers if you re-run it

1 high1 low
  • Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1718ms20/20
  • Tool poisoning10 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 3 write-action tools with no auth3/15
  • Maintenanceno repository listed3/15
  • Maintainer identityno repository or website to verify2/10

Findings (2)

  • highWrite-action tools reachable without authenticationauth.open-write
  • lowNo source repository listedmaint.no-repo
Overall 57/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

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

Costable — Parametric Should-Cost Analysis: common questions

Is Costable — Parametric Should-Cost Analysis MCP server safe?
With care: it is graded C, so read the findings first (57/100). Read the Costable — Parametric Should-Cost Analysis safety report
How do I install Costable — Parametric Should-Cost Analysis?
It runs remotely at costable.ai. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Costable — Parametric Should-Cost Analysis need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Costable — Parametric Should-Cost Analysis maintained?
The latest release is v1.0.0.
Is Costable — Parametric Should-Cost Analysis up?
100% of our last 20 checks got an answer. We check remote servers about four times a day.

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