Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Unified earthquake data from 20 global seismic agencies, with cross-agency report reconciliation.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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-mcpPaste 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.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account hoon1983, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Tool Guardian
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Too many MCP servers eating your context? A router that loads each tool's schema only when needed.
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.
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.
Working:
find_events, get_event, compare_sources, find_discrepancies, list_recent_by_agency, get_agency_info, list_agencies.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).
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.
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.
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.
uv run pytest
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