An MCP server that analyzes cross-chain activity on the Wormhole protocol, providing insights into transaction volumes, top assets
Wormhole Metrics MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. An MCP server that analyzes cross-chain activity on the Wormhole protocol, providing insights into transaction volumes, top assets, source-destination chain pairs, and key performance indicators (KPIs).
Once Wormhole Metrics MCP is connected, these are the calls the assistant has available:
Description — Fetches cross-chain activity data, returning a pivot table of volumes between source and destination chainsParameters — - timeSpan: 7d, 30d, 90d, 1y, all-time (default: 7d)app — Comma-separated list of apps (default: empty)Example — - Prompt: "Show me the cross-chain activity for the last 7 days, measured by notional volume."Output — markdownfrom_date — ISO 8601 format (e.g., 2024-01-01T15:04:05Z, default: empty)to_date — ISO 8601 format (default: empty)appId — Application ID (default: empty)sourceChain — Source chain ID (default: empty)targetChain — Target chain ID (default: empty)Prerequisites — The Prerequisites tool exposed by this serverSetup — Install the server as a Claude Desktop application: bash uv run mcp install main.py --name "Wormhole Metrics"Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Wormhole Metrics MCP's toolset — Description, Parameters, app and 10 more — is a fair guide to whether it matches your workflow. It is maintained by kukapay; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Description | Fetches cross-chain activity data, returning a pivot table of volumes between source and destination chains. |
| Parameters | - timeSpan: 7d, 30d, 90d, 1y, all-time (default: 7d) |
| app | Comma-separated list of apps (default: empty) |
| Example | - **Prompt**: "Show me the cross-chain activity for the last 7 days, measured by notional volume." |
| Output | markdown |
| from_date | ISO 8601 format (e.g., 2024-01-01T15:04:05Z, default: empty) |
| to_date | ISO 8601 format (default: empty) |
| appId | Application ID (default: empty) |
| sourceChain | Source chain ID (default: empty) |
| targetChain | Target chain ID (default: empty) |
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | Install the server as a Claude Desktop application: bash uv run mcp install main.py --name "Wormhole Metrics" |
| Tools | The Tools tool exposed by this server. |
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