Wormhole Metrics MCP
Analyzes cross-chain activity on the Wormhole protocol, providing insights into transaction volumes, top assets, and key performance indicators.
Wormhole Metrics MCP
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).
Features
- 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.
Installation
Prerequisites
- Python 3.10 or higher
- uv (recommended package manager)
Setup
-
Clone the Repository
git clone https://github.com/kukapay/wormhole-metrics-mcp.git cd wormhole-metrics-mcp -
Install Dependencies
uv sync -
Installing to Claude Desktop:
Install the server as a Claude Desktop application:
uv run mcp install main.py --name "Wormhole Metrics"Configuration file as a reference:
{ "mcpServers": { "Wormhole Metrics": { "command": "uv", "args": [ "--directory", "/path/to/wormhole-metrics-mcp", "run", "main.py" ] } } }Replace
/path/to/wormhole-metrics-mcpwith your actual installation path.
Usage
The wormhole-metrics-mcp server exposes several tools via the MCP interface. Below is an overview of the tools and their usage.
Tools
-
get_cross_chain_activity
- 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)by:notional,tx count(default:notional)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:
| source_chain | Solana | Ethereum | Base | |--------------|--------|---------|------------| | Mantle | 23.545 | | | | Polygon | | 245951 | 747048 |
-
get_money_flow
- Description: Retrieves transaction count and volume data for a specific period.
- Parameters:
timespan:1h,1d,1mo,1y(default:1d)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)
- Example:
- Prompt: "Get the transaction count and volume for Solana as the source chain over the last day."
- Output:
| from | to | source_chain | volume | count | |----------------------|----------------------|--------------|-------------------|-------| | 2025-01-01T00:00:00Z | 2025-01-02T00:00:00Z | Solana | 346085661921482 | 550 | | 2025-01-02T00:00:00Z | 2025-01-03T00:00:00Z | Solana | 1915450117554795 | 747 |
-
get_top_assets_by_volume
- Description: Lists top assets by volume, including emitter and token chains.
- Parameters:
timeSpan:7d,15d,30d(default:7d)
- Example:
- Prompt: "List the top assets by volume for the past 15 days."
- Output:
| emitter_chain | symbol | token_chain | token_address | volume | |---------------|--------|-------------|------------------------------------------|----------------| | Solana | WBTC | Ethereum | 0000000000000000000000002260fac5e5542a773aa44fbcfedf7c193bc2c599 | 25101807.78824 | | Ethereum | RNDR | Ethereum | 0000000000000000000000006de037ef9ad2725eb40118bb1702ebb27e4aeb24 | 9829032.688 |
-
get_top_chain_pairs_by_num_transfers
- Description: Returns top chain pairs by number of transfers.
- Parameters:
timeSpan:7d,15d,30d(default:7d)
- Example:
- Prompt: "Show the top chain pairs by number of transfers for the last 7 days."
- Output:
| source_chain | destination_chain | number_of_transfers | |--------------|-------------------|---------------------| | Optimism | Solana | 2849 | | Ethereum | Solana | 2466 | | Base | Arbitrum | 1993 |
-
get_top_symbols_by_volume
- Description: Fetches top symbols by volume and transaction count.
- Parameters:
timeSpan:7d,15d,30d(default:7d)
- Example:
- Prompt: "What are the top symbols by volume over the last 30 days?"
- Output:
| symbol | volume | txs | |--------|-----------------|-----| | WBTC | 28434555.496489 | 133 | | RNDR | 9829032.688 | 49 | | WETH | 9662352.854166 | 60 |
-
get_top100_corridors
- Description: Lists top 100 token corridors by number of transactions.
- Parameters:
timeSpan:2d,7d(default:2d)
- Example:
- Prompt: "Get the top 100 token corridors by transactions for the last 7 days."
- Output:
| source_chain | target_chain | token_chain | token_address | txs | |--------------|--------------|-------------|------------------------------------------|-----| | Optimism | Solana | Optimism | 000000000000000000000000ef4461891dfb3ac8572ccf7c794664a8dd927945 | 2777| | Base | Arbitrum | Base | 000000000000000000000000271cdba25be9be2e024bc0a550012b2e5934420e | 1892|
-
get_kpi_list
- Description: Retrieves key performance indicators (KPIs) for the Wormhole protocol.
- Parameters: None
- Example:
- Prompt: "Show me the key performance indicators for Wormhole."
- Output:
| 24h_messages | total_messages | total_tx_count | total_volume | tvl | 24h_volume | 7d_volume | 30d_volume | |--------------|----------------|----------------|--------------------|-------------|--------------|--------------|---------------| | 192987 | 1111114235 | 6023755 | 60718344331.570806 | 2582546224 | 22688586.172 | 252786937.009| 1349155202.545|
License
This project is licensed under the MIT License. See the LICENSE file for details.
Похожие серверы
Metabase MCP Server
Integrates AI assistants with the Metabase business intelligence and analytics platform.
SAP OData MCP Server
An MCP server for integrating with SAP OData services, configured via environment variables.
MCP Data Pipeline Connector
Universal data connector for CSV, Postgres, and REST APIs via DuckDB
MS SQL MCP Server
A bridge for AI assistants to directly query and explore Microsoft SQL Server databases.
TiDB
An MCP server for TiDB, a serverless, distributed SQL database.
Alpha Vantage
Provides real-time financial market data using the Alpha Vantage API.
KnowledgeGraph MCP Server
Enables persistent knowledge storage for Claude using a knowledge graph with multiple database backends like PostgreSQL and SQLite.
SurrealDB MCP Server
A standardized interface for AI assistants to interact with a SurrealDB database.
Kg
Lightweight knowledge graph
CPersona
Persistent AI memory server with 3-layer hybrid search, confidence scoring, and 16 tools. Zero LLM dependency.