Clairwave

Name: Clairwave
Author: clairwave

by clairwaveversion 0.4.0i★ –iRuns in the cloud

Registry nameio.github.clairwave/clairwave

Install

Overview

Description from the maker (original English)

Ocean acoustics: propagation models, bathymetry, sound speed, vessel noise, live AIS. Open.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 in the cloud
Transport: Streamable HTTP
Category: Other

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://www.clairwave.com/mcp

Run this in your terminal

claude mcp add --transport http clairwave https://www.clairwave.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "clairwave": {
      "url": "https://www.clairwave.com/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": {
    "clairwave": {
      "type": "http",
      "url": "https://www.clairwave.com/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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://www.clairwave.com/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account clairwave, 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32380 servers in this category
Published to the registry more recently than 33% of the other 32380 servers in this category
Basic checks equal to or better than 100% of the other 32380 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 Clairwave 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Dechonet MCP

Alternatives

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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.

clairwave-mcp

An open MCP server that gives AI assistants physically grounded ocean acoustics.

Clairwave runs validated propagation models (Bellhop, RAM/parabolic equation) on global bathymetry and seasonal sound-speed profiles, tracks live AIS vessels, and serves 3D hull models for them (shipshape). This server exposes that to Claude, ChatGPT, Gemini and any other MCP client — so an assistant reasoning about the ocean can *run the physics* instead of guessing.

Every result carries provenance (model, data source, run_id) and an open_url that opens the exact result in the platform. Simulation results include the bathymetry, sound-speed profile and bottom parameters that were used, so a researcher can replicate the run in MATLAB, Python or anything else.

Endpoint (no auth, no key): https://www.clairwave.com/mcp — Streamable HTTP.

Connect

Claude Code: claude mcp add --transport http clairwave https://www.clairwave.com/mcp
Claude.ai / Claude Desktop: Settings → Connectors → *Add custom connector* → the URL above
ChatGPT: Plugins → search *Clairwave* → + (a listed plugin: no URL, no developer mode)
Any MCP client: point it at the URL; the server is stateless and JSON-response capable

Tools

Tool	What it does
`get_bathymetry`	Depth at a point, or a transect profile along a bearing
`get_sound_speed_profile`	Seasonal c(z) for a month + seabed parameters (cp, cs, density, attenuation, sediment)
`run_transmission_loss`	RAM parabolic-equation TL along a bearing; bathymetry/SSP/seabed fetched automatically; replication bundle included
`estimate_detection_range`	Sonar equation on a RAM run: continuous and furthest detection range, signal excess vs range
`run_bellhop_volume`	3D Bellhop TL volume stored under a run id (uint8 cube + JSON sidecar links)
`vessel_source_level`	Ship radiated noise: broadband + third-octave spectrum + mechanism breakdown
`search_vessels` / `vessels_near`	Live AIS by name/MMSI, or within a radius of a point
`get_vessel`	Live position/track, particulars, and the 3D model (GLB, bow=+Z) with platform links
`get_vessel_photo`	Wikimedia Commons photo with attribution
`resolve_place`	Place name (port, strait, sea, 'off Halifax') → water coordinates; gazetteer + OpenStreetMap, snapped seaward off land
`habitat_received_level`	Power-summed vessel noise at a fixed site (fish farm, reef, hydrophone): live snapshot or 10-minute history series; top contributors
`about`	Models, data sources, limits

Typical latency against the live platform: bathymetry 0.5 s, SSP 6 s first time per 0.1° cell then cached, RAM transmission loss 1–3 s, detection range 1–3 s.

Run locally

pip install "mcp[cli]<2" httpx

python server.py # streamable HTTP on :8890 (/mcp) python server.py --stdio # stdio for local clients python tests/smoke_client.py

Environment: CLAIRWAVE_API, CLAIRWAVE_FLEET, CLAIRWAVE_SITE, MCP_PORT.

Where to find it

Official MCP Registry: io.github.clairwave/clairwave (https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.clairwave/clairwave)
Claude: Settings > Connectors > Add custom connector, URL https://www.clairwave.com/mcp, no auth.
ChatGPT: listed in the Plugins directory as "Clairwave — Ocean acoustics & live ships"; search *Clairwave* and click +.
Grok (grok.com/connectors > New > Custom): paste the same URL.
xAI / OpenAI APIs: {"type": "mcp", "server_url": "https://www.clairwave.com/mcp", "server_label": "clairwave"}.

Place names

Every location tool takes either lat/lon or a place string. Names go through a maritime gazetteer first (ports resolve to their approaches, straits and seas to a representative water point; ~120 entries in gazetteer.py), then OpenStreetMap Nominatim. If the point is on land or shallower than 10 m it is walked seaward until it is deep enough, and the response's location block reports the original point, the snap distance and bearing, and the depth used. resolve_place exposes the same logic directly, with offshore_km to push a point further out.

Example prompts

"What is the sound speed profile 50 km west of Gibraltar in March, and where is the sonic layer depth?"
"How far could a 150 Hz, 170 dB source at 20 m depth be detected by a receiver at 100 m near 36N 5.5W, along bearing 090?"
"Show transmission loss versus range at 200 Hz out to 30 km north of Halifax in winter."
"What ships are within 15 km of the Strait of Hormuz right now, and how loud is the largest one?"
"Run a 3D Bellhop volume at 400 Hz around 49.2N 123.3W and give me the link to open it."

Limits and support

No sign-in. Compute calls share a platform-wide budget of about 20 per minute.
Simulations are climatology-based (monthly sound speed, global bathymetry) and are not a substitute for in-situ measurements.
Privacy policy: PRIVACY.md. Terms: TERMS.md. Support: contact@clairwave.com. Issues: https://github.com/clairwave/clairwave-mcp/issues

License

MIT. Data: AIS via the AISHub peer network (Clairwave contributes receivers); vessel photos CC-licensed with attribution; bathymetry and SSP sources cited in each response.

Clairwave

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Dechonet MCP

README from the maker

clairwave-mcp

Connect

Tools

Run locally

Where to find it

Place names

Example prompts

Limits and support

License