Cdt Express Mcp
Query Riskthinking.AI climate and physical-risk metrics from the agent while scoping sites, assets, or climate-aware product requirements.
Overview
CDT Express MCP is an MCP server for the Validate phase that lets agents query Riskthinking.AI climate metrics through the CDT Express API.
What is this MCP server?
- MCP bridge to Riskthinking.AI CDT Express climate metrics API
- Distributed as versioned MCPB package (v0.5.3) with stdio transport
- GitHub release artifact with pinned fileSha256 for supply-chain verification
- Designed for supported AI chat experiences that register MCP servers
- Suited to property, infrastructure, and ESG-style validation workflows
- Registry version 0.5.3
- stdio transport via MCPB identifier
- Publisher fileSha256 pin on release artifact
Community signal: 1 GitHub stars.
What problem does it solve?
Builders working on climate-sensitive products struggle to pull authoritative risk metrics into agent workflows during early scoping.
Who is it for?
Indie founders and consultants scoping climate, real-estate, or infrastructure ideas who already use Riskthinking.AI data.
Skip if: General-purpose weather apps or builders who need consumer SEO tools with no physical-risk modeling requirement.
What do I get? / Deliverables
After registration, your agent can call CDT Express-backed tools so climate constraints show up in validation and scope conversations.
- Agent-retrieved climate metric snippets for scope docs
- Faster validation loops for location- or asset-dependent ideas
- Repeatable MCP tool calls instead of manual API exploration
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Journey fit
Climate exposure data informs whether a location, supply chain, or insurance-adjacent idea is feasible before full implementation. Placed under scope because CDT Express helps bound what you can credibly claim and build around climate metrics during validation, not after launch analytics.
How it compares
Climate metrics API MCP, not a generic weather skill or infrastructure deployer.
Common Questions / FAQ
Who is CDT Express MCP for?
It is for developers and analysts who use AI agents and need Riskthinking.AI CDT Express climate data inside validation and research chats.
When should I use CDT Express MCP?
Use it while scoping products, sites, or reports where physical climate risk changes whether the idea is viable or what you must disclose.
How do I add CDT Express MCP to my agent?
Register the MCPB release from the RiskThinking GitHub repo (v0.5.3) with stdio in your MCP host and ensure your Riskthinking.AI API access matches CDT Express requirements.