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MCP serverio.github.1337mofo/costable

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

Overview

Score?
UNRATED 0.672
of what a free look can see, on 30 looks
Looks
36
last 1 hr ago
Tools
10

More info

URL
costable.ai/api/mcp
streamable-http
Says it is
costable 1.0.0
protocol 2024-11-05
In the record since
32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.672 · highest on record 0.8561

Toolsfrom sha256:4e2403b302…2864ab

The tools this server lists, read out of the definition it returned
ToolSchema
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.
input · no output
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.
input · no output
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, overhea
input · no output
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.
input · no output
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_c
input · no output
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 materia
input · no output
get_labour_rates
Get manufacturing labour rates ($/hr) for all skill levels in a given country. Data covers 16 skill levels across 25 countries (ILO/BLS/ABS sourced).
input · no output
review_supplier_quote
Analyse a supplier quote against Costable's should-cost benchmarks. Returns a line-by-line delta (% over/under should-cost), verdict (LOW / COMPETITIVE / HIGH / VERY HIGH), and a l
input · no output
search_materials
Search the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and strength properties.
input · no output
search_processes
Search the Costable manufacturing process database (41 processes). Returns process name, category, machine rate ($/hr), and cycle time model.
input · no output
Verify it yourselfnpx teppi-check https://costable.ai/api/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2B7HHD3EXX2KFF4HHNGT