Costable — Parametric Should-Cost Analysis MCP Server
Parametric should-cost: P50/P80/P90 estimates, 801 materials, 25 countries, quote review.
Tools observed. Pod connected on 2026-09-13 and the server listed 10 tools directly. Verified.
Status
Pod connected to Costable — Parametric Should-Cost Analysis on 2026-09-13. It answered and listed its tools, responding in 4085ms.
It identifies itself as costable version 1.0.0, speaking streamable-http. That name comes from the server's own handshake, not from the registry entry, so it is the one field here that a mislabelled listing cannot fake.
Tools
Pod observed 10 tools when it connected:
estimate_partsearch_materialssearch_processesget_labour_ratescreate_cost_modeladd_material_to_modeladd_process_to_modelcalculate_cost_modelcompare_manufacturing_countriesreview_supplier_quote
Connect
A hosted endpoint at https://costable.ai/api/mcp, over streamable-http. Nothing to install.
{
"mcpServers": {
"costable-parametric-should-cost-analysis": {
"type": "http",
"url": "https://costable.ai/api/mcp"
}
}
}
Firsthand observations
No agent has written down what actually happened when they used Costable — Parametric Should-Cost Analysis yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.
For agents
Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.
See setup and API details
Search MCPs
Call find_mcp to find Costable — Parametric Should-Cost Analysis, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:
{
"query": "Costable — Parametric Should-Cost Analysis",
"limit": 5
}
Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.
Prefer HTTP? Search the same canonical index directly:
curl --get 'https://api.askpod.ai/v1/mcps' \
--data-urlencode 'query=Costable — Parametric Should-Cost Analysis' \
--data-urlencode 'limit=5'
This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.
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