MCP server

WaveGuard

io.github.gpartin/waveguard

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Anomaly detection API powered by physics simulation. Scan any data for outliers.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

19

Token cost

About 5,527 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http waveguard https://gpartin--waveguard-api-fastapi-app.modal.run/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.waveguard]
url = "https://gpartin--waveguard-api-fastapi-app.modal.run/mcp"

Gemini CLI

{"mcpServers":{"waveguard":{"httpUrl":"https://gpartin--waveguard-api-fastapi-app.modal.run/mcp"}}}

Cursor

{"mcpServers":{"waveguard":{"url":"https://gpartin--waveguard-api-fastapi-app.modal.run/mcp"}}}

VS Code

{"servers":{"waveguard":{"type":"http","url":"https://gpartin--waveguard-api-fastapi-app.modal.run/mcp"}}}

Antigravity

agy mcp add waveguard https://gpartin--waveguard-api-fastapi-app.modal.run/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"waveguard","server_url":"https://gpartin--waveguard-api-fastapi-app.modal.run/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"waveguard","server_url":"https://gpartin--waveguard-api-fastapi-app.modal.run/mcp"}

Tools

• waveguard_action_surface ~243 tokens
  Score candidate actions and extract robust action zones.
• waveguard_cascade_risk ~359 tokens
  Estimate shock propagation and resilience from adjacency-linked entities.
• waveguard_compare ~214 tokens
  Compare two data items for structural similarity using physics-based fingerprints. Returns cosine similarity (0–1) and Euclidean distance. Use for duplicate detection, behavioral matching, drift analysis, or checking if two tokens/wallets/contracts are structurally similar. Cosine similarity > 0.95
• waveguard_counterfactual ~281 tokens
  Run baseline plus counterfactual variants and measure verdict/score sensitivity.
• waveguard_fingerprint ~290 tokens
  Get a physics embedding of any data item (52-dim at Level 0, 62-dim at Level 1 with phase statistics). The fingerprint captures structural properties via wave-equation dynamics — useful for similarity search, clustering, baseline comparison, and drift detection. Works on JSON objects, token metrics,
• waveguard_health ~114 tokens
  Check WaveGuard API health, GPU availability, version, and engine status. No authentication required. Returns status, version, and GPU info.
• waveguard_instability ~275 tokens
  Estimate instability under controlled perturb-and-resolve trials.
• waveguard_interaction_matrix ~226 tokens
  Compute pairwise interaction matrix and cluster decomposition for entities.
• waveguard_market_data ~463 tokens
  Fetch live crypto market data from CoinGecko and DexScreener. No external data needed — WaveGuard pulls it for you. Use 'coin_id' for CoinGecko (e.g. 'bitcoin', 'ethereum', 'solana'). Use 'contract_address' for DexScreener (any chain). Use 'search' to find token IDs by name/symbol. Returns: price,
• waveguard_mechanism_probe ~283 tokens
  Run targeted interventions and rank effect sizes.
• waveguard_multi_horizon_outlook ~259 tokens
  Compute horizon-specific anomaly outlook and consistency across windows.
• waveguard_phase_coherence ~221 tokens
  Measure coherence/entropy and collapse-risk indicators for candidate data.
• waveguard_price_manipulation ~257 tokens
  Detect price manipulation in time-series data. Send a price or price+volume history as a numeric array. Early windows define 'normal' trading, recent windows are tested for manipulation patterns (pump-and-dump, spoofing, layering). Example: Send 90 days of closing prices → detect manipulated window
• waveguard_scan ~689 tokens
  Find outliers and anomalies in structured data — ideal as a second step after pulling records from Google Sheets, Airtable, Supabase, Notion databases, HubSpot, Financial APIs, GitHub, NPM, or any source that returns rows of JSON. Fully stateless: send known-good rows as training and suspect rows as
• waveguard_scan_timeseries ~444 tokens
  Detect anomalies in time-series data — use after pulling numeric metrics from monitoring APIs, financial data sources, IoT sensors, or spreadsheet columns. Send a single numeric array and specify a window size. Early windows define 'normal', recent windows are tested for anomalies. Typical workflow
• waveguard_token_risk ~259 tokens
  Assess crypto token legitimacy risk. Send metrics from known-good tokens as training (price, volume, holders, liquidity, market_cap, age_days, etc.) and suspect tokens as test. Detects pump-and-dump patterns, fake metrics, and anomalous token profiles. Example: Pull CoinGecko data for 20 establishe
• waveguard_trajectory_scan ~213 tokens
  Analyze sequence drift and regime shifts over ordered samples.
• waveguard_volume_check ~227 tokens
  Detect wash trading and fake volume in OHLCV candle data. Send known-legitimate candles as training and suspect candles as test. Detects artificial volume spikes, suspiciously regular patterns, and manipulated price-volume relationships. Example: Send 100 candles from a liquid pair as baseline, tes
• waveguard_wallet_profile ~210 tokens
  Profile wallet behavior against baselines. Send normal wallet transaction patterns as training (tx_count, avg_value, unique_tokens, gas_spent, active_days, etc.) and suspect wallets as test. Detects bot activity, wash trading wallets, and sybil patterns. Example: Profile 50 organic wallets → test 1

Browse

• GitHub tools
• Notion tools
• Spreadsheets
• Email
• Notes and wikis
• CRM

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