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Earth Grounding MCP
by DeepMapAI

DeepMap AI — Earth Grounding MCP

Verifiable physical-world ground truth for AI agents. Ask about subsurface water, seismic and space-weather hazard, ground stability, and resource indications for any point on Earth — and every answer carries a Bitcoin-anchored provenance record, so a physical-world claim can be checked rather than trusted.

This repository holds the published thin client: a small stdio Model Context Protocol server that proxies your calls to DeepMap's hosted engine at https://deepmapai.com/mcp. It is stdlib-only — no dependencies, no platform code, no proprietary data. The answers and their provenance come from the hosted service.

Quick start

uvx deepmap-earth-grounding-mcp

A free demo key works with no signup:

export DEEPMAP_API_KEY=demo-free

Claude Code, hosted (no install):

claude mcp add --transport http deepmap-earth-grounding https://deepmapai.com/mcp --header "apiKey: demo-free"

Claude Code, local stdio:

claude mcp add deepmap-earth-grounding -e DEEPMAP_API_KEY=demo-free -- uvx deepmap-earth-grounding-mcp

Per-client config snippets (Claude Desktop, Cursor, VS Code, generic) are in connectors/; see INSTALL.md.

Related MCP server: groundstation

Tools

Eight answer questions about a place. Three answer questions about the evidence itself — those are the ones worth reading twice.

tool

what it answers

water_availability

replenishable-water availability at a point

seismic_hazard

seismic hazard via the public, outcome-excluded prediction ledger

ground_stability

subsidence / void / karst / fault risk from verified observations

resource_indication

geothermal / mineral / gas / water indication (gated)

space_weather_grid_risk

live geomagnetic (Kp) activity as GIC / grid exposure

verify

verify a claim hash / the ledger hash chain against the Bitcoin anchor

ground_truth

the bundled five-question answer + one provenance record

capabilities

what DeepMap can answer now + public coverage counts

check_hypothesis

has this Earth-science hypothesis already been tested? Queries the Null Museum and the anchored hypothesis registry, and returns the verdict with the positive control that proves the test was sensitive

list_nulls

the documented nulls, bounds and retractions — we carry our own, and that is the point

run_controlled_test

Lab-as-an-API: fetches real data, runs a bounded controlled test with a local-background null and a positive control, and returns UNTESTABLE rather than a fabricated null

Why it answers differently

  • Grounded on a geophysical sensor network and live feeds, not on the open web.

  • Verifiable — answers reference a Bitcoin-anchored, pre-registered ledger. Call verify on any claim hash and check it yourself.

  • Honest by construction — it returns null rather than a fabricated value, publishes no platform-wide accuracy headline, and will tell you a question is UNTESTABLE instead of inventing a clean answer. A negative result is only worth anything next to the positive control that shows the test could have detected something; both are returned.

Design

tools/list is answered locally, so the tool surface is visible offline and without a key. tools/call is proxied to the hosted endpoint with your apiKey. If the endpoint is unreachable the client returns an honest tool error rather than crashing — and never a substituted value.

Run the self-test:

python -m deepmap_earth_mcp --self-test

Support

info@deepmapai.com · service terms: https://deepmapai.com/terms

Available Tools

11 tools
capabilitiesB

What DeepMap can answer now + coverage counts (public aggregate).

Inputs: no named parameters.

check_hypothesisB

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.

Inputs: claim (required), limit, domain.

ground_stabilityC

Subsidence / void / karst / fault risk from verified observations.

Inputs: lat (required), lon (required), radius_km.

ground_truthC

The bundled five-question answer + one provenance record.

Inputs: lat (required), lon (required).

list_nullsC

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.

Inputs: limit, domain.

resource_indicationC

Geothermal / mineral / gas / water indication (gated, low-confidence).

Inputs: lat (required), lon (required), type.

run_controlled_testA

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). Free tier runs a synthetic demo; the live lab is the authenticated tier.

Inputs: lat, lon, observable.

seismic_hazardD

Seismic hazard via the public, outcome-excluded prediction ledger.

Inputs: lat (required), lon (required), region, horizon_days.

space_weather_grid_riskC

Live geomagnetic activity (Kp) as GIC / space-weather grid exposure.

Inputs: lat (required), lon (required).

verifyC

Verify a claim hash / the ledger hash chain against the Bitcoin anchor.

Inputs: claim_hash.

water_availabilityB

Replenishable-water availability at a point. Free = public groundwater trend; paid adds a derived (non-locating) atlas indication.

Inputs: lat (required), lon (required), depth_m.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3/5.0

    Scored across 11 tools

    Disambiguation4/5

    The hazard tools (water_availability, seismic_hazard, ground_stability, space_weather_grid_risk) each target a distinct exposure with clear boundaries. However, resource_indication explicitly covers 'water' and overlaps with water_availability, which could cause misselection, and the meta tools (ground_truth, capabilities, check_hypothesis) require careful reading to distinguish 'answer now' vs 'registry query'.

    Naming Consistency4/5

    All names use snake_case, which is consistent. There is a minor stylistic split between bare domain nouns (seismic_hazard, ground_stability, capabilities) and verb_noun action names (check_hypothesis, list_nulls, run_controlled_test, verify), but each name is readable and predictable.

    Tool Count5/5

    11 tools is well within the sweet spot for a domain server and each tool appears to earn its place across hazard lookups, verification, and the hypothesis/null registry.

    Completeness4/5

    The surface covers a broad lifecycle: query geohazard data, verify provenance/anchors, test hypotheses, list nulls, and run controlled tests. There is no obvious create/update flow, but for a read-oriented ground-truth service this is close to complete; minor gaps are workable.

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