Connect-MCP

DeepMap AI -- Earth Grounding

com.deepmapai/earth-grounding · v0.3.0

Verifiable Earth ground truth for AI agents: water, hazard, ground stability, resource, with proof.

MCPremotelocal · pypiAPI keyMaps & locationScience & open dataCrypto

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 11 tools, protocol 2026-07-28 · checked 2026-10-17

Test & rating

A 91/100

What it does: 11 tools · 11 read, 0 write · Maps & location, Crypto

Test call capabilities: worked (1,370 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +1
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://deepmapai.com/mcp
Package
registry:   pypi
identifier: deepmap-earth-grounding-mcp
version:    0.3.0
transport:  stdio

Tools

11 tools listed at last check
  • water_availability Replenishable-water availability at a point. Free tier = public GRACE groundwater trend; authenticated tier adds a derived (non-locating) replenishable-atlas indication.
  • seismic_hazard Seismic hazard via the public, outcome-excluded prediction ledger (no platform-wide accuracy figure).
  • ground_stability Subsidence / void / karst / fault risk from verified observations.
  • resource_indication Geothermal / mineral / gas / water indication (gated, honest null).
  • space_weather_grid_risk GIC / space-weather exposure for infrastructure at a point.
  • verify Verify a claim / the ledger hash chain against the Bitcoin-anchored record.
  • ground_truth The bundled five-question answer (water / stability / hazard / resource / provability) + one provenance record.
  • capabilities What DeepMap can answer now + coverage counts (public aggregate; tracks the library, leaks no proprietary data).
  • check_hypothesis Has this Earth-science hypothesis been tested? Query the Null Museum + the Bitcoin-anchored hypothesis registry. A direct match returns the verdict + the positive control that proves the test was sensitive + the honest bound + the anchor -- so an agent never re-runs a dead idea.
  • list_nulls List DeepMap's documented nulls / bounds / retractions (the Null Museum), optionally by domain -- each with the positive control that makes it trustworthy. We carry our own retractions; that is the credibility.
  • run_controlled_test The Lab-as-an-API: run a REAL, bounded controlled test at a location and get an honest verdict. DeepMap fetches real data, runs a lock-in detection with a local-background null AND a positive control (a known reference line must be recovered, else UNTESTABLE) -- so an agent gets a grounded result it

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