About WaveGuard
Anomaly detection API powered by physics simulation. Scan any data for outliers.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcpclaude mcp add --transport http com-emergentphysicslab-waveguard https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp{"mcpServers":{"com-emergentphysicslab-waveguard":{"type":"http","url":"https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp"}}}Open in Cursor{"servers":{"com-emergentphysicslab-waveguard":{"type":"http","url":"https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp"}}}Open in VS Code{"mcpServers":{"com-emergentphysicslab-waveguard":{"type":"http","url":"https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp"}}}{"mcpServers":{"com-emergentphysicslab-waveguard":{"serverUrl":"https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
19| Parameter | Type | Required | Description |
|---|---|---|---|
| test | array | Yes | 1+ data points to check for anomalies — new entries, recent rows, or the subset you want validated. Same type/shape as training. Each sample is scored independently. |
| training | array | Yes | 2+ examples of NORMAL/expected data — the known-good baseline. Typically the bulk of rows from a spreadsheet, database query, or API response. All samples should be the same type/shape. More samples = better baseline (10-100 is ideal for tabular data). |
| field_level | enum | No | Physics field complexity. 0 = real scalar (default). 1 = complex field (phase-aware, 62-dim fingerprint).0 | 1 |
| sensitivity | number | No | Anomaly threshold multiplier (default: 2.0). Lower = more sensitive. Higher = less sensitive. Range: 0.5 to 5.0. |
| encoder_type | enum | No | Data encoder type. Omit to auto-detect from data shape.json | numeric | text | timeseries | tabular | image | correlation | complex_numeric |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.