The Costable — Parametric Should-Cost Analysis MCP server,
connected in one click.
Parametric should-cost: P50/P80/P90 estimates, 801 materials, 25 countries, quote review. Connect the official Costable — Parametric Should-Cost Analysis MCP server to Claude, ChatGPT, or Cursor through gate — one gateway URL, no config files, security-checked.
Free to start · No credit card · No hosting needed
Add Costable — Parametric Should-Cost Analysis to your AI in one minute
Pick your client. Copy, paste, done — or let gate handle sign-ins and policies for you.
claude mcp add --transport http costable-parametric-should-cost-analysis https://costable.ai/api/mcpRun in your terminal, then restart Claude Code.
Costable — Parametric Should-Cost Analysis · https://costable.ai/api/mcp
What your AI can do with Costable — Parametric Should-Cost Analysis
Real prompts you can type the moment it's connected — no setup, no docs to read.
“Use “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 ba.”
“Use “search_materials”: Search the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and.”
“Use “search_processes”: Search the Costable manufacturing process database (41 processes). Returns process name, category, machine rate ($/hr), and cycle time model.”
“Use “get_labour_rates”: Get manufacturing labour rates ($/hr) for all skill levels in a given country. Data covers 16 skill levels across 25 countries (ILO/BLS/ABS.”
How secure is the Costable — Parametric Should-Cost Analysis MCP server?
Every server in the gate directory has to pass the same four checks before your AI can touch it. Here's how Costable — Parametric Should-Cost Analysis holds up.
Official endpoint
Operated by Costable — Parametric Should-Cost Analysis (costable.ai) at its documented MCP endpoint — not a third-party mirror or community re-host.
No sign-in needed
This server only exposes public data — no account and no credentials are involved when you connect.
Scanned before it goes live
gate checks every tool for prompt injection, hidden instructions, data-exfiltration hints, and over-broad permissions before the server is available through your gateway.
Watched for drift
If Costable — Parametric Should-Cost Analysis adds or changes tools later, gate re-scans and alerts you — before your AI acts on the change.
Connected in three steps
Connect your gate
Add one gateway URL to Claude, ChatGPT, or any MCP client. One-time setup, about two minutes.
Pick Costable — Parametric Should-Cost Analysis
Choose Costable — Parametric Should-Cost Analysis in the gate directory. No sign-in needed.
Use it anywhere
Costable — Parametric Should-Cost Analysis's tools are live in every AI client you've connected — with rules and logging built in.
Free to start · No credit card · No hosting needed
The actual tools Costable — Parametric Should-Cost Analysis exposes
Fetched live from the official endpoint and re-checked daily by gate — not marketing copy.
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 ba
search_materials — Search the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and
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
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
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 break
+ 2 more tools once connected
Who runs the Costable — Parametric Should-Cost Analysis MCP server?
The Costable — Parametric Should-Cost Analysis MCP server at a glance
https://costable.ai/api/mcpQuestions, answered
Is there an official Costable — Parametric Should-Cost Analysis MCP server?
Yes — Costable — Parametric Should-Cost Analysis operates its own remote MCP server at costable.ai. gate connects you to that official endpoint and adds security scanning, per-tool access rules, and an activity log on top.
How do I connect Costable — Parametric Should-Cost Analysis to Claude or ChatGPT?
Add gate's gateway URL to your AI client once, then pick Costable — Parametric Should-Cost Analysis in the directory. No account or sign-in is needed. From then on, Costable — Parametric Should-Cost Analysis's tools are available in every client you've connected to gate.
Do I need to host anything?
No. Costable — Parametric Should-Cost Analysis runs the server, and gate is fully managed. You just connect one URL — there's nothing to install, deploy, or maintain.
Is the Costable — Parametric Should-Cost Analysis MCP server safe to connect?
It's the vendor's official endpoint, and gate scans its tools for prompt injection and hidden instructions before it goes live, re-checks it whenever it changes, and lets you allow, block, or require approval for every single tool.
Is it free?
Yes — you can get started with gate for free and connect Costable — Parametric Should-Cost Analysis in minutes. No credit card required.
Connect more than just Costable — Parametric Should-Cost Analysis
Every server below works through the same gateway URL — connect once, add tools anytime.
Squarespace DomainsDesignView →Set up Costable — Parametric Should-Cost Analysis in: Claude · Claude Code · ChatGPT · Cursor · VS Code
Give your AI Costable — Parametric Should-Cost Analysis — safely.
One URL. All MCPs. Full control. Free to start.
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