Skip to main content
Glama
aniruddhaadak80

pulsegrid

by aniruddhaadak80
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

🛰️ PulseGrid

Live planetary risk intelligence — space weather × earthquakes × wildfires fused into one deterministic, hash-sealed Instability Index with MCP agent tools.

Live Demo License: MIT Next.js Feeds MCP

Live App · API · MCP · Issues

✨ Features

  • 🌍 Library-grade 3D globe (react-globe.gl): live quake points + pulse rings, disaster markers, solar-storm arcs, auto-rotate that pauses when you grab it

  • ⚡ 3 live public feeds (zero API keys): USGS earthquakes, NOAA space weather, NASA EONET disasters — cached API routes + sealed offline fallbacks

  • 🧮 Deterministic Instability Index 0–100 with itemized factors — the same function serves the UI, REST, and MCP

  • 🤖 MCP JSON-RPC (initialize / tools/list / tools/call) + live in-page console proving it with one click

  • 🔗 Hash-chained seals SHA-384(prevSeal ‖ canonicalJson) verifiable by replay

  • 🌑 Dark-first glass design, live ticker, stats row, numbered narrative, custom scrollbar

Related MCP server: Earth Grounding MCP

🏗️ System architecture

flowchart LR
    U[USGS quakes] --> Q["/api/quakes"]
    N[NOAA SWPC] --> S["/api/space"]
    E[NASA EONET] --> D["/api/disasters"]
    Q --> G["computeRisk() engine"]
    S --> G
    D --> G
    G --> UI["Next.js page + 3D globe"]
    G --> R["/api/risk"]
    G --> M["/api/mcp tools"]
    classDef live fill:#22d3ee,color:#04060c
    classDef engine fill:#a78bfa,color:#04060c
    classDef agent fill:#34d399,color:#04060c
    classDef ext fill:#fbbf24,color:#04060c
    class U,N,E ext
    class Q,S,D live
    class G engine
    class UI,R agent
    class M agent

🌊 Data-pipeline flow

Each feed is fetched server-side with timeout + normalization; any failure falls back to a sealed offline sample so the build, demo, and first paint never break.

flowchart TB
    T[revalidate timer] --> F[fetch upstream]
    F --> OK{HTTP 200 + valid?}
    OK -->|yes| N[normalize + slice]
    OK -->|no| B[offline fallback sample]
    N --> E[FeedEnvelope + fetchedAt]
    B --> E
    E --> C[cached API response]
    classDef live fill:#22d3ee,color:#04060c
    classDef caution fill:#fbbf24,color:#04060c
    classDef infra fill:#94a3b8,color:#04060c
    class T,F,N,E live
    class OK,B caution
    class C infra

🧮 Engine / algorithm flow

flowchart LR
    M[max magnitude] --> P1[seismic energy 5-52]
    C[swarm count M4.5+] --> P2[swarm 0-18]
    K[Kp index] --> P3[geomagnetic 0-48]
    W[wind + Bz] --> P4[coupling 0-18]
    V[EONET categories] --> P5[disasters 0-30]
    P1 --> SUM[clamp sum 0-100]
    P2 --> SUM
    P3 --> SUM
    P4 --> SUM
    P5 --> SUM
    SUM --> LVL[Calm→Extreme + summary]
    classDef engine fill:#a78bfa,color:#04060c
    classDef live fill:#22d3ee,color:#04060c
    classDef risk fill:#fb7185,color:#04060c
    class M,C,K,W,V live
    class P1,P2,P3,P4,P5 engine
    class SUM,LVL risk

🤖 Agent (MCP) sequence

sequenceDiagram
    participant A as Agent
    participant M as /api/mcp
    participant E as computeRisk()
    A->>M: initialize
    M-->>A: capabilities + tools
    A->>M: tools/list
    M-->>A: get_live_risks, get_planetary_briefing, verify_seal
    A->>M: tools/call get_planetary_briefing
    M->>E: quakes + space + disasters
    E-->>M: briefing + seal
    M-->>A: JSON-RPC result

🔗 Integrity / seal chain

flowchart TB
    B[briefing body + prevSeal] --> J[canonicalJson sorted keys]
    J --> H["SHA-384 prevSeal + json"]
    H --> S[seal hex 96 chars]
    S --> V{verify_seal replay?}
    V -->|match| OK[trusted]
    V -->|mismatch| BAD[tampered]
    classDef agent fill:#34d399,color:#04060c
    classDef engine fill:#a78bfa,color:#04060c
    classDef risk fill:#fb7185,color:#04060c
    class B,J,H engine
    class S,V,OK agent
    class BAD risk

🚀 Deployment pipeline

flowchart LR
    P[push to main] --> CI[GitHub Actions: lint + build]
    CI --> V[vercel --prod]
    V --> H["/api/health check"]
    H --> F[feed checks count > 0]
    F --> M[MCP tools/list + briefing seal]
    M --> L[live alias verified]
    classDef infra fill:#94a3b8,color:#04060c
    classDef agent fill:#34d399,color:#04060c
    classDef live fill:#22d3ee,color:#04060c
    class P,CI,V infra
    class H,F live
    class M,L agent

🧭 User-journey flow

flowchart TB
    L[land on hero + score] --> T[read risk ticker]
    T --> G[spin 3D globe]
    G --> F[inspect factor cards]
    F --> A[run MCP console]
    A --> S[verify seal]
    classDef live fill:#22d3ee,color:#04060c
    classDef engine fill:#a78bfa,color:#04060c
    classDef agent fill:#34d399,color:#04060c
    class L,T,G live
    class F engine
    class A,S agent

🚀 Quickstart

git clone https://github.com/aniruddhaadak80/pulsegrid.git
cd pulsegrid
npm install
npm run dev   # zero env vars — open http://localhost:3000

🔌 API

curl https://pulsegrid-theta.vercel.app/api/health
curl https://pulsegrid-theta.vercel.app/api/quakes
curl https://pulsegrid-theta.vercel.app/api/space
curl https://pulsegrid-theta.vercel.app/api/disasters
curl https://pulsegrid-theta.vercel.app/api/risk
curl -X POST https://pulsegrid-theta.vercel.app/api/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
curl -X POST https://pulsegrid-theta.vercel.app/api/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_planetary_briefing","arguments":{}}}'

Agent setup (mcp.json block — full manifest in public/mcp.json):

{
  "mcpServers": {
    "pulsegrid": { "url": "https://pulsegrid-theta.vercel.app/api/mcp", "transport": "json-rpc" }
  }
}

📁 Project map

Path

What

src/app/page.tsx

Server page: fetches feeds, computes risk, numbered sections

src/components/GlobeView.tsx

react-globe.gl client globe (dynamic ssr:false)

src/components/GlobeSection.tsx

Client wrapper for the dynamic globe

src/components/Hero.tsx / McpConsole.tsx

Animated hero + one-click MCP proof

src/lib/engine.ts

Deterministic Instability Index (UI = API = MCP)

src/lib/feeds.ts / fallback.ts / types.ts

Live fetchers, offline samples, types

src/lib/seal.ts

SHA-384 chain + verify

src/app/api/*/route.ts

health, quakes, space, disasters, risk, mcp

📡 Data feeds

  • USGS Earthquake Hazards Program — earthquake.usgs.gov (GeoJSON, updated every minute)

  • NOAA Space Weather Prediction Center — services.swpc.noaa.gov (K-index, plasma, mag)

  • NASA EONET v3 — eonet.gsfc.nasa.gov (open wildfires, storms, volcanoes)

⚠️ Safety note: PulseGrid is an educational demo, not an official warning system. For real emergencies follow USGS / NOAA / local authorities.

🗺️ Roadmap

  • Now — live + sealed + agentic (this release: wow outcome = 10-second globe demo + one-click agent proof)

  • Next — alerts + history (wow outcome = subscribe to a place and get a sealed push briefing)

  • Later — grid impact model (wow outcome = per-grid-cell transformer/GPS risk overlay)

flowchart LR
    A[live feeds] --> B[history store]
    B --> C[alert subscriptions]
    C --> D[grid impact overlay]
    classDef live fill:#22d3ee,color:#04060c
    classDef engine fill:#a78bfa,color:#04060c
    classDef agent fill:#34d399,color:#04060c
    class A live
    class B,C engine
    class D agent
flowchart TB
    H[hourly snapshots] --> T[trend charts]
    T --> P[push briefings]
    classDef engine fill:#a78bfa,color:#04060c
    classDef agent fill:#34d399,color:#04060c
    class H,T engine
    class P agent
flowchart LR
    G[GPW grid cells] --> X[transformer risk]
    X --> O[overlay on globe]
    classDef risk fill:#fb7185,color:#04060c
    classDef live fill:#22d3ee,color:#04060c
    class G live
    class X,O risk

🤝 Contributing

See CONTRIBUTING.md. MIT licensed — see LICENSE. Security notes in SECURITY.md.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • DeepMap AI MCP Server by DeepMapAI

    DeepMap AI MCP Serverofficial

    DeepMapAI
    A
    license
    Not graded
    quality
    D
    maintenance
    Provides 25 geophysical intelligence tools for multi-hazard risk scoring, earthquake/volcano/tsunami/sinkhole prediction, weather intelligence, insurance underwriting, climate migration, and parametric triggers.
    MIT

  • Earth Grounding MCP

    DeepMapAI
    A
    license
    B
    quality
    C
    maintenance
    Enables AI agents to query verifiable physical-world ground truth for any point on Earth — water availability, seismic and space-weather hazard, ground stability, and resource indications — with every answer backed by a Bitcoin-anchored provenance record that can be independently verified. It also lets agents check whether an Earth-science hypothesis has already been tested, list documented nulls and retractions, and run bounded controlled tests that return UNTESTABLE rather than fabricate a result.
    11
    Academic Free v1.1

  • terra-pulse

    aniruddhaadak80
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to query live earthquake and disaster event data, and to compute deterministic risk assessments with tamper-evident seals.
    MIT