Wormhole Metrics MCP Server

An MCP server that analyzes cross-chain activity on the Wormhole protocol, providing insights into transaction volumes, top assets

Local serverstdioPython

What is the Wormhole Metrics MCP MCP server?

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).

What you get

  • Comprehensive Tools — Includes tools for cross-chain activity, money flow, top assets, chain pairs, symbols, token corridors, and KPIs
  • Markdown Output — Returns data as Markdown-formatted tables for clear presentation

What the assistant can call

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 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"

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Configuration and credentials

  • Python 3.10 or higher - uv (recommended package manager)

Choosing this one

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.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 13 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Wormhole Metrics MCP.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the wormhole metrics mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
DescriptionFetches 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)
appComma-separated list of apps (default: empty)
Example- **Prompt**: "Show me the cross-chain activity for the last 7 days, measured by notional volume."
Outputmarkdown
from_dateISO 8601 format (e.g., 2024-01-01T15:04:05Z, default: empty)
to_dateISO 8601 format (default: empty)
appIdApplication ID (default: empty)
sourceChainSource chain ID (default: empty)
targetChainTarget chain ID (default: empty)
PrerequisitesThe Prerequisites tool exposed by this server.
SetupInstall the server as a Claude Desktop application: bash uv run mcp install main.py --name "Wormhole Metrics"
ToolsThe Tools tool exposed by this server.

Configuration

  • Python 3.10 or higher - uv (recommended package manager)

Example prompts to try

  • Use Wormhole Metrics MCP to Description.
  • Use Wormhole Metrics MCP to Parameters.
  • Use Wormhole Metrics MCP to app.

Frequently asked questions

It connects Wormhole Metrics MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 13 tools (Description, Parameters, app, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Wormhole Metrics MCP directly.