Costable — Parametric Should-Cost Analysis
REMOTE · COSTABLE.AI · SCANNED SEP 20
Parametric should-cost: P50/P80/P90 estimates, 801 materials, 25 countries, quote review.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 10 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability75
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1461 tokens (~146/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
- Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
How do I install the Costable — Parametric Should-Cost Analysis MCP server?
Costable — Parametric Should-Cost Analysis is a hosted endpoint at https://costable.ai/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · costable.ai
claude mcp add --transport http 1337mofo-costable 'https://costable.ai/api/mcp'
{
"mcpServers": {
"1337mofo-costable": {
"url": "https://costable.ai/api/mcp"
}
}
} {
"servers": {
"1337mofo-costable": {
"type": "http",
"url": "https://costable.ai/api/mcp"
}
}
} [mcp_servers.1337mofo-costable] url = "https://costable.ai/api/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"1337mofo-costable": {
"type": "remote",
"url": "https://costable.ai/api/mcp",
"enabled": true
}
}
} openclaw mcp add 1337mofo-costable --url 'https://costable.ai/api/mcp' --transport streamable-http
mcp_servers:
1337mofo-costable:
url: "https://costable.ai/api/mcp" {
"McpServers": {
"1337mofo-costable": {
"Transport": "http",
"Url": "https://costable.ai/api/mcp"
}
}
} assistant mcp add 1337mofo-costable -t streamable-http -u 'https://costable.ai/api/mcp'
{
"mcpServers": {
"1337mofo-costable": {
"type": "http",
"url": "https://costable.ai/api/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.
- 6 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.
- 4 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Probed https://costable.ai/api/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=costable.ai | CN=YE1,O=Let's Encrypt,C=US | 2 Sept 2026 | 1 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 6528b899df6ed941da0720fd1c5b3a396b8 |
| SANs: *.costable.ai, costable.ai | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of costable.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| costable.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000; includeSubDomains |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://costable.ai/api/mcp | Verified | 200 | |
| http (plaintext) | http://costable.ai/api/mcp | HTTPS enforced | 301 | https://costable.ai:443/api/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
add_material_to_model ~153
Add a material (BOM line) to an existing cost model. Searches the materials database by name query — no need for exact IDs.
| Name | Type | Req | Description |
|---|---|---|---|
| massKg | number | yes | Mass of material per unit in kilograms. |
| materialQuery | string | yes | Material name to search for, e.g. 'ABS', 'Aluminium 6061', 'Stainless 304'. |
| modelId | number | yes | Cost model ID returned by create_cost_model. |
| qty | number | – | Number of this material per unit assembly. Defaults to 1. |
| scrapFactor | number | – | Scrap/yield factor (e.g. 1.05 = 5% material waste). Defaults to 1.05. |
No output schema declared.
No examples provided.
add_process_to_model ~220
Add a manufacturing process step to an existing cost model. Searches the process database by name query — no need for exact IDs.
| Name | Type | Req | Description |
|---|---|---|---|
| countryCode | string | yes | Country where this process step is performed (ISO 3166-1 alpha-2). |
| cycleTimeHrs | number | yes | Cycle time per unit in decimal hours (e.g. 0.5 = 30 minutes). |
| modelId | number | yes | Cost model ID returned by create_cost_model. |
| processQuery | string | yes | Process name to search for, e.g. 'CNC 3-Axis', 'Injection Moulding', 'TIG Welding'. |
| skillLevel | string | yes | Worker skill level. Options: cnc_machinist, machine_operator, welder, composite_tech, assembly_tech, quality_inspector, toolmaker, engineer, general_labour, painter, electrician, plumber, driver, war… |
| stepOrder | number | – | Step sequence number (1 = first). Defaults to 1. |
No output schema declared.
No examples provided.
calculate_cost_model ~70
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).
| Name | Type | Req | Description |
|---|---|---|---|
| modelId | number | yes | Cost model ID returned by create_cost_model. |
No output schema declared.
No examples provided.
compare_manufacturing_countries ~99
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.
| Name | Type | Req | Description |
|---|---|---|---|
| countries | array | yes | Array of ISO 3166-1 alpha-2 country codes to compare, e.g. ['US','CN','VN','MX','DE']. Maximum 6. |
| modelId | number | yes | Cost model ID returned by create_cost_model. |
No output schema declared.
No examples provided.
create_cost_model ~181
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.
| Name | Type | Req | Description |
|---|---|---|---|
| batchQty | number | yes | Batch / order quantity. Affects Wright's Law learning curve. |
| countryCode | string | yes | Primary manufacturing country code (ISO 3166-1 alpha-2). |
| marginRate | number | – | Profit margin as a decimal fraction (e.g. 0.15 = 15%). Defaults to 0.15. |
| name | string | yes | Descriptive name for the cost model, e.g. 'Aluminium Enclosure Rev2'. |
| overheadRate | number | – | Factory overhead as a decimal fraction (e.g. 0.25 = 25%). Defaults to 0.25. |
No output schema declared.
No examples provided.
estimate_part ~217
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.
| Name | Type | Req | Description |
|---|---|---|---|
| batchQty | number | – | Batch / order quantity. Affects Wright's Law learning curve factor. Defaults to 100. |
| countryCode | string | – | ISO 3166-1 alpha-2 manufacturing country code. Defaults to 'US'. Supported: US, CN, DE, JP, UK, MX, IN, VN, TH, PL, BR, FR, IT, KR, TW, CA, SE, SG, MY, ID, CZ, TR, ZA, ES, AU. |
| description | string | yes | Natural language description, e.g. '500 ABS injection moulded phone cases 0.08 kg' or 'CNC milled aluminium bracket 0.45 kg, 100 units'. |
No output schema declared.
No examples provided.
get_labour_rates ~79
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).
| Name | Type | Req | Description |
|---|---|---|---|
| countryCode | string | yes | ISO 3166-1 alpha-2 country code, e.g. 'US', 'CN', 'DE', 'VN'. |
No output schema declared.
No examples provided.
review_supplier_quote ~109
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.
| Name | Type | Req | Description |
|---|---|---|---|
| countryCode | string | yes | Supplier's manufacturing country (ISO 3166-1 alpha-2). |
| items | array | yes | Quote line items. |
| supplierName | string | yes | Name of the supplier (for labelling the report). |
No output schema declared.
No examples provided.
search_materials ~139
Search the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and strength properties.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Filter by category: Metals - Aluminium, Metals - Steel, Metals - Titanium, Metals - Copper Alloys, Polymers - Thermoplastic, Polymers - Thermoset, Composites, Timber, Rubber & Elastomers. |
| limit | number | – | Maximum results to return. Defaults to 20. |
| query | string | – | Search query, e.g. 'aluminium', 'stainless', 'ABS', 'titanium'. |
No output schema declared.
No examples provided.
search_processes ~124
Search the Costable manufacturing process database (41 processes). Returns process name, category, machine rate ($/hr), and cycle time model.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Filter by category: CNC Machining, Sheet Metal, Casting, Polymer Processing, Additive Manufacturing, Composites, Welding & Joining, Surface Finishing, Assembly. |
| limit | number | – | Maximum results to return. Defaults to 20. |
| query | string | – | Search query, e.g. 'CNC', 'injection moulding', 'laser cutting', 'anodising'. |
No output schema declared.
No examples provided.
What is the Costable — Parametric Should-Cost Analysis MCP server?
Costable — Parametric Should-Cost Analysis is an MCP server listed in the public MCP registry as io.github.1337mofo/costable. Parametric should-cost: P50/P80/P90 estimates, 801 materials, 25 countries, quote review. This page covers its hosted endpoint (https://costable.ai/api/mcp).
Is the Costable — Parametric Should-Cost Analysis MCP server safe to use?
Costable — Parametric Should-Cost Analysis scores 77 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Costable — Parametric Should-Cost Analysis MCP server expose?
Costable — Parametric Should-Cost Analysis exposes 10 tools: estimate_part, search_materials, search_processes, get_labour_rates, create_cost_model, and 5 more. Their descriptions and schemas cost roughly 1,391 tokens of context every time the server is loaded.
Does the Costable — Parametric Should-Cost Analysis MCP server require authentication?
No. We connected to Costable — Parametric Should-Cost Analysis without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Costable — Parametric Should-Cost Analysis MCP server still maintained?
Costable — Parametric Should-Cost Analysis is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.