DeepMap AI
Give your coding agent live multi-hazard geophysical risk, weather, insurance, and climate intelligence via DeepMap’s MCP tools while you build location-aware products.
Overview
DeepMap AI Geophysical Intelligence is an MCP server for the Build phase that exposes multi-hazard geophysical risk, weather, insurance, and climate tools to your agent via API-backed stdio transport.
What is this MCP server?
- Multi-hazard geophysical risk scoring and prediction tools over MCP
- Weather, insurance, and climate-oriented capabilities in one server (v2.0.0)
- stdio transport via deepmap-mcp on PyPI with DEEPMAP_API_KEY
- Optional DEEPMAP_API_URL override (default https://www.deepmapai.com)
- Free API key registration at deepmapai.com/api/v1/auth/register
- Server version 2.0.0; package identifier deepmap-mcp on PyPI
- Two documented environment variables: DEEPMAP_API_KEY (secret) and DEEPMAP_API_URL
- Developer docs at https://www.deepmapai.com/developer
What problem does it solve?
Location-risk features stall when your agent cannot call structured hazard, weather, and climate data instead of hallucinating peril scores.
Who is it for?
Solo builders in insuretech, climate, logistics, or real-estate tech who want MCP-native hazard and weather intelligence during integration sprints.
Skip if: Apps with no geolocation or peril use case, or teams unwilling to manage a DEEPMAP_API_KEY and Python MCP runtime.
What do I get? / Deliverables
After install and API key setup, your agent can query DeepMap MCP tools while you code maps, underwriting helpers, or resilience workflows with real geophysical inputs.
- Running DeepMap MCP server v2.0.0 on stdio
- Agent-invokable geophysical, weather, insurance, and climate tool surface
- Configurable API base via DEEPMAP_API_URL when needed
Recommended MCP Servers
Journey fit
Geospatial risk APIs are wired during product build when the app needs real hazard and climate data, not during pure ideation. DeepMap ships as a PyPI stdio MCP package with API-key auth—classic third-party data integration.
How it compares
Specialized geophysical data MCP integration, not a general coding or SEO agent skill.
Common Questions / FAQ
Who is DeepMap Geophysical Intelligence for?
Developers and indie founders building products that need multi-hazard risk, weather, insurance, or climate signals accessible from AI coding agents.
When should I use this MCP server?
Use it during build when you integrate location-based risk features, dashboards, or agent tools that must call DeepMap instead of scraping or guessing.
How do I add DeepMap to my agent?
Install the deepmap-mcp PyPI package, set DEEPMAP_API_KEY (and optional DEEPMAP_API_URL), configure stdio MCP in Claude Code or Cursor, then expose the geophysical tools to your agent.