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Seismic MCP

by hoon1983version 0.1.0i★ –iRuns on your computer
Registry nameio.github.hoon1983/seismic-mcp

Install

Overview

Description from the maker (original English)

Unified earthquake data from 20 global seismic agencies, with cross-agency report reconciliation.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "seismic": {
      "command": "uvx",
      "args": [
        "seismic-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add seismic -- uvx seismic-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "seismic": {
      "command": "uvx",
      "args": [
        "seismic-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "seismic": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "seismic-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account hoon1983, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18360 servers in this category
  • Published to the registry more recently than 12% of the other 18360 servers in this category
  • Basic checks equal to or better than 100% of the other 18360 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Seismic MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tool Guardian

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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