DeepMap AI -- Earth Grounding
PYPI · DEEPMAP-EARTH-GROUNDING-MCP · 2 COMPONENTS · SCANNED SEP 21
Verifiable Earth ground truth for AI agents: water, hazard, ground stability, resource, with proof.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency6
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: the license (Proprietary) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 8 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability56
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 624 tokens (~56/item across 11 items; 11 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management70
- Stability observed for 21 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 12% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 11 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
How do I install the DeepMap AI -- Earth Grounding MCP server?
DeepMap AI -- Earth Grounding runs locally as a PyPI package, launched with uvx deepmap-earth-grounding-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · deepmap-earth-grounding-mcp
claude mcp add com-deepmapai-earth-grounding -- uvx deepmap-earth-grounding-mcp
{
"mcpServers": {
"com-deepmapai-earth-grounding": {
"command": "uvx",
"args": [
"deepmap-earth-grounding-mcp"
]
}
}
} {
"servers": {
"com-deepmapai-earth-grounding": {
"command": "uvx",
"args": [
"deepmap-earth-grounding-mcp"
]
}
}
} codex mcp add com-deepmapai-earth-grounding -- uvx deepmap-earth-grounding-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-deepmapai-earth-grounding": {
"type": "local",
"command": [
"uvx",
"deepmap-earth-grounding-mcp"
],
"enabled": true
}
}
} openclaw mcp add com-deepmapai-earth-grounding --command uvx --arg deepmap-earth-grounding-mcp
mcp_servers:
com-deepmapai-earth-grounding:
command: "uvx"
args: ["deepmap-earth-grounding-mcp"] {
"McpServers": {
"com-deepmapai-earth-grounding": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"deepmap-earth-grounding-mcp"
]
}
}
} assistant mcp add com-deepmapai-earth-grounding -t stdio -c uvx -a deepmap-earth-grounding-mcp
{
"mcpServers": {
"com-deepmapai-earth-grounding": {
"command": "uvx",
"args": [
"deepmap-earth-grounding-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 21 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 14 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
- Tool safety: pass → unverified ▼ security
- Stability: 0.37 → unverified ▼ security
- Schema quality: 40 → 56 ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Capabilities: fail → unverified ▼ functional
- Tool coverage: 0% → 12% ▲ functional
- First check of Schema quality: unverified functional
- Package version: 0.1.0 → 0.3.0 functional
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 21 Sept 2026 · Analysed pypi/deepmap-earth-grounding-mcp@0.3.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
capabilities ~20
What DeepMap can answer now + coverage counts (public aggregate).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
check_hypothesis ~112
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.
| Name | Type | Req | Description |
|---|---|---|---|
| claim | string | yes | the hypothesis in plain words, e.g. 'does dv/v predict earthquakes' |
| domain | string | – | optional filter, e.g. earthquake_precursor |
| limit | integer | – | – |
No output schema declared.
No examples provided.
ground_stability ~46
Subsidence / void / karst / fault risk from verified observations.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | – |
| lon | number | yes | – |
| radius_km | number | – | – |
No output schema declared.
No examples provided.
ground_truth ~32
The bundled five-question answer + one provenance record.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | – |
| lon | number | yes | – |
No output schema declared.
No examples provided.
list_nulls ~66
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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | – | – |
| limit | integer | – | – |
No output schema declared.
No examples provided.
resource_indication ~46
Geothermal / mineral / gas / water indication (gated, low-confidence).
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | – |
| lon | number | yes | – |
| type | string | – | – |
No output schema declared.
No examples provided.
run_controlled_test ~121
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.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | – | – |
| lon | number | – | – |
| observable | string | – | e.g. 'geomagnetic' (live) or 'synthetic' (demo) |
No output schema declared.
No examples provided.
seismic_hazard ~51
Seismic hazard via the public, outcome-excluded prediction ledger.
| Name | Type | Req | Description |
|---|---|---|---|
| horizon_days | integer | – | – |
| lat | number | yes | – |
| lon | number | yes | – |
| region | string | – | – |
No output schema declared.
No examples provided.
space_weather_grid_risk ~42
Live geomagnetic activity (Kp) as GIC / space-weather grid exposure.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | – |
| lon | number | yes | – |
No output schema declared.
No examples provided.
verify ~29
Verify a claim hash / the ledger hash chain against the Bitcoin anchor.
| Name | Type | Req | Description |
|---|---|---|---|
| claim_hash | string | – | – |
No output schema declared.
No examples provided.
water_availability ~59
Replenishable-water availability at a point. Free = public groundwater trend; paid adds a derived (non-locating) atlas indication.
| Name | Type | Req | Description |
|---|---|---|---|
| depth_m | number | – | – |
| lat | number | yes | – |
| lon | number | yes | – |
No output schema declared.
No examples provided.
What is the DeepMap AI -- Earth Grounding MCP server?
DeepMap AI -- Earth Grounding is an MCP server listed in the public MCP registry as com.deepmapai/earth-grounding. Verifiable Earth ground truth for AI agents: water, hazard, ground stability, resource, with proof. This page covers its PyPI package (deepmap-earth-grounding-mcp).
Is the DeepMap AI -- Earth Grounding MCP server safe to use?
DeepMap AI -- Earth Grounding scores 64 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the DeepMap AI -- Earth Grounding MCP server expose?
DeepMap AI -- Earth Grounding exposes 11 tools: water_availability, seismic_hazard, ground_stability, resource_indication, space_weather_grid_risk, and 6 more. Their descriptions and schemas cost roughly 624 tokens of context every time the server is loaded.
Is the DeepMap AI -- Earth Grounding MCP server still maintained?
DeepMap AI -- Earth Grounding is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the DeepMap AI -- Earth Grounding MCP server under?
DeepMap AI -- Earth Grounding declares the Proprietary licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.