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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Providing real-time cross-chain bridge metrics.

README.md

Bridge Metrics MCP

An MCP server that provides real-time cross-chain bridge metrics, enabling AI agents to analyze liquidity, transaction flows, and performance across blockchain networks.

!GitHub License !Python Version !Status

Features

  • List Chains: Retrieve a list of all chain slugs from DeFiLlama, sorted by Total Value Locked (TVL) in descending order.
  • List Bridges: Fetch all bridges, optionally including chain breakdowns, sorted by 24-hour volume.
  • Historical Volumes: Get historical volume data for a bridge or chain, with dates formatted as YYYY-MM-DD HH:MM:SS.
  • Daily Token Stats: Retrieve 24-hour token volume breakdowns, including token ID, symbol, decimals, deposit/withdrawal amounts, and USD values, sorted by deposit USD value.
  • Bridge Transactions: Fetch transaction summaries for a specific bridge, with details like transaction hash, timestamp, and USD value.
  • Prompts: Includes example prompts for analyzing bridge volumes and comparing bridges based on metrics like weekly volume.

Prerequisites

  • Python: Version 3.10 or higher.
  • uv: Package and virtual environment manager for Python (recommended for dependency management).

Installation

  1. Clone the Repository:
   git clone https://github.com/kukapay/bridge-metrics-mcp.git
   cd bridge-metrics-mcp
  1. Install dependencies:
   uv sync
  1. Install to Claude Desktop:

Install the server as a Claude Desktop application: ``bash uv run mcp install main.py --name "Bridge Metrics" ``

Configuration file as a reference:

    {
       "mcpServers": {
           "Bridge Metrics": {
               "command": "uv",
               "args": [ "--directory", "/path/to/bridge-metrics-mcp", "run", "main.py" ]
           }
       }
    }

Replace /path/to/bridge-metrics-mcp with your actual installation path.

Tools and Usage

The server provides the following tools, accessible via JSON-RPC or natural language prompts in compatible clients:

  1. list_chains:
  • Description: Lists all chain slugs from DeFiLlama, sorted by TVL.
  • Parameters: None.
  • Output: Table with columns Name, Gecko ID, Token Symbol, Chain ID, TVL.
  1. list_bridges:
  • Description: Lists all bridges, sorted by 24-hour volume, with optional chain inclusion.
  • Parameters: include_chains (boolean, default False).
  • Output: Table with columns ID, Name, Display Name, Last 24h Volume, Chains.
  1. get_historical_volumes:
  • Description: Fetches historical volumes for a chain or bridge, with dates formatted as YYYY-MM-DD HH:MM:SS.
  • Parameters: chain (string, required), bridge_id (integer, optional).
  • Output: Table with columns Date, Deposit USD, Withdraw USD, Deposit Txs, Withdraw Txs.
  1. get_day_stats:
  • Description: Retrieves 24-hour token volume breakdowns, sorted by deposit USD value.
  • Parameters: timestamp (integer, required), chain (string, required), bridge_id (integer, optional).
  • Output: Table with columns Token ID, Symbol, Decimals, Deposit Amount, Deposit USD Value, Withdraw Amount, Withdraw USD Value.
  1. get_transactions:
  • Description: Fetches transaction summaries for a bridge, sorted by timestamp.
  • Parameters: bridge_id (integer, required), start_timestamp, end_timestamp, source_chain, address, limit (all optional).
  • Output: Table with columns Tx Hash, Timestamp, Block, From, To, Token, Amount, Type, Chain, Bridge Name, USD Value.
  1. Prompts:
  • analyze_bridge_volume: Analyzes volume data for a specific bridge.
  • compare_bridges: Compares two bridges based on a specified metric (e.g., weeklyVolume).

Example Interactions

Below are example interactions using natural language prompts in a compatible MCP client, along with expected results.

Example 1: Listing All Chains

Prompt: `` List all chains available on DeFiLlama. ``

Tool Called: list_chains

Result: `` +----------------+-------------+---------------+-----------+-------------+ | Name | Gecko ID | Token Symbol | Chain ID | TVL | +================+=============+===============+===========+=============+ | Ethereum | ethereum | ETH | 1 | 50000000000 | | Binance Smart | binance-smart-chain | BNB | 56 | 15000000000 | | Polygon | polygon | MATIC | 137 | 5000000000 | +----------------+-------------+---------------+-----------+-------------+ ``

Example 2: Listing Bridges with Chains

Prompt: `` Show all bridges with their supported chains, sorted by 24-hour volume. ``

Tool Called: list_bridges(include_chains=True)

Result: `` +----+-------------+---------------+-----------------+----------------------------------+ | ID | Name | Display Name | Last 24h Volume | Chains | +====+=============+===============+=================+==================================+ | 1 | polygon | Polygon | 1000000 | Ethereum, Polygon, Binance Smart | | 2 | optimism | Optimism | 750000 | Ethereum, Optimism | | 3 | arbitrum | Arbitrum | 500000 | Ethereum, Arbitrum | +----+-------------+---------------+-----------------+----------------------------------+ ``

Example 3: Historical Volumes for a Chain

Prompt: `` Get historical volumes for the Ethereum chain. ``

Tool Called: get_historical_volumes(chain="ethereum")

Result: `` +---------------------+---------------+---------------+---------------+---------------+ | Date | Deposit USD | Withdraw USD | Deposit Txs | Withdraw Txs | +=====================+===============+===============+===============+===============+ | 2025-09-12 00:00:00 | 1000000.0 | 500000.0 | 150 | 100 | | 2025-09-11 00:00:00 | 1200000.0 | 600000.0 | 180 | 120 | | 2025-09-10 00:00:00 | 900000.0 | 450000.0 | 130 | 90 | +---------------------+---------------+---------------+---------------+---------------+ ``

Example 4: Daily Token Stats for a Bridge

Prompt: `` Show the 24-hour token stats for bridge ID 1 on Ethereum for September 12, 2025. ``

Tool Called: get_day_stats(timestamp=1752499200, chain="ethereum", bridge_id=1)

Result: `` +----------------+--------+----------+------------------+-------------------+------------------+-------------------+ | Token ID | Symbol | Decimals | Deposit Amount | Deposit USD Value | Withdraw Amount | Withdraw USD Value| +================+========+==========+==================+===================+==================+===================+ | 0xa0b869... | USDC | 6 | 2000000 | 2000000.0 | 0 | 0.0 | | 0xc02aaa... | ETH | 18 | 1000000000000000 | 1500000.0 | 500000000000000 | 750000.0 | | 0xdac17f... | DAI | 18 | 0 | 0.0 | 1000000000000000 | 1000000.0 | +----------------+--------+----------+------------------+-------------------+------------------+-------------------+ ``

Example 5: Analyzing Bridge Volume

Prompt: `` Analyze the volume data for the Polygon bridge using historical volumes. ``

Tool Called: get_historical_volumes(chain="polygon", bridge_id=1), followed by analyze_bridge_volume

Result: ``` Analyze the following volume data for the bridge 'Polygon':

+---------------------+---------------+---------------+---------------+---------------+ | Date | Deposit USD | Withdraw USD | Deposit Txs | Withdraw Txs | +=====================+===============+===============+===============+===============+ | 2025-09-12 00:00:00 | 800000.0 | 400000.0 | 120 | 80 | | 2025-09-11 00:00:00 | 900000.0 | 450000.0 | 140 | 90 | | 2025-09-10 00:00:00 | 700000.0 | 350000.0 | 100 | 70 | +---------------------+---------------+---------------+---------------+---------------+

Key insights:

  • The Polygon bridge shows consistent deposit and withdrawal activity over the past three days.
  • Deposits are roughly double the withdrawals in USD value, indicating higher inflow than outflow.
  • Transaction counts are stable, with deposits averaging 120 transactions per day.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

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