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Unified earthquake data from 20 global seismic agencies, with cross-agency report reconciliation.
About
Unified earthquake data from 20 global seismic agencies, with cross-agency report reconciliation.
Security Report
A well-architected earthquake data aggregation MCP server with clean separation of concerns, proper input validation, and secure credential handling. The server queries 20 seismic agencies in parallel and performs cross-agency reconciliation. No authentication is required (appropriate for public data APIs), and permissions are narrowly scoped to HTTP calls for public earthquake data and file I/O for configuration. Minor code quality observations exist but do not materially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (1 critical, 1 high severity). Package verification found 1 issue.
7 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-hoon1983-seismic-mcp": {
"args": [
"seismic-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
seismic-mcp
A unified Model Context Protocol server for global earthquake data. Queries 20 seismic agencies in parallel; matches cross-agency reports of the same earthquake; surfaces magnitude and location discrepancies so AI agents can see what one feed alone would hide.
Status
Working:
- 20 agencies wired up. FDSN-event: USGS, EMSC, IRIS, INGV, GeoNet, GFZ, NOA, IPGP, NCEDC, SCEDC, ISC, SED, BMKG, NIEP, RESIF, KNMI, NRCAN. Custom (non-FDSN): JMA (Japan), AFAD (Türkiye), IMO (Iceland).
- Cross-agency reconciliation. Spatiotemporal clustering, prime-report selection (local authority > EMSC for Europe > USGS), discrepancy detection (magnitude/location/depth spread). Reviewed bulletins trump preliminary.
- Seven MCP tools:
find_events,get_event,compare_sources,find_discrepancies,list_recent_by_agency,get_agency_info,list_agencies. - TTL cache (60 s) with in-flight de-dup: repeated queries are sub-100 ms.
- 57 unit tests covering parsers, matching, prime-selection, authorities, reconciliation, and cache.
- HTTP frontend for manual inspection: form + Leaflet map + side-by-side compare drawer.
Not yet built: EMSC eventid mapping (cross-references USGS/EMSC IDs for tighter matching), populated known_aliases.json, multi-region per-event authority (KOERI alongside AFAD for Türkiye).
Safety
Reports earthquake data from multiple seismic agencies for research, journalism, situational awareness, and curiosity. It is NOT an early-warning system. All earthquake reports arrive AFTER shaking has already occurred where it was felt. For earthquake preparedness and emergency response, consult official local authorities (USGS ShakeAlert, JMA Earthquake Early Warning, etc.). Preliminary magnitudes and locations are routinely revised by reporting agencies; never make safety decisions based on a single reading.
Run
As an MCP server (Claude Desktop, VS Code, etc.)
Once published to PyPI, no checkout is needed — uvx fetches and runs it:
uvx seismic-mcp
Add to claude_desktop_config.json — Windows path is %APPDATA%\Claude\claude_desktop_config.json, macOS ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"seismic": {
"command": "uvx",
"args": ["seismic-mcp"]
}
}
}
To run from a local checkout instead (development):
uv sync
uv run python server.py
Restart Claude Desktop. The tools appear under the seismic-mcp server in the tools menu.
As a web frontend (manual inspection)
uv run python web.py
Then open http://127.0.0.1:8765/. Same code paths as the MCP server, just exposed over HTTP with a small UI.
Tests
uv run pytest
Architecture
server.py FastMCP entry point — 7 @mcp.tool functions
web.py FastAPI HTTP wrapper around the same tools
src/
schemas.py Pydantic models: SourceReport, ReconciledEvent, ...
adapters/
base.py SeismicAdapter protocol
fdsn.py Header-aware FDSN-event adapter (handles 17 networks)
afad.py Custom AFAD JSON adapter
jma.py Custom JMA list.json adapter
imo.py Custom IMO GeoJSON adapter
__init__.py Registry: make_adapter(code), supported_agencies()
authorities.py Regional-authority bbox lookup
matching.py Spatiotemporal clustering with mag-scaled thresholds
prime_selection.py Headline-report selection rules
reconcile.py Cluster → ReconciledEvent with spreads
cache.py TTL cache + in-flight de-dup
tools/ One file per MCP tool
data/
agency_metadata.json Per-agency coverage, latency, notes
region_authorities.json Region bboxes → authoritative agency
known_aliases.json (manual fallback for matching, currently {})
tests/ pytest suite — 57 tests, fast (<1s)
static/index.html Single-page UI for the HTTP frontend
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