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    Bridge Metrics Mcp

    An MCP server that provides real-time cross-chain bridge metrics.

    2 stars
    Python
    Updated Sep 24, 2025

    Table of Contents

    • Features
    • Prerequisites
    • Installation
    • Tools and Usage
    • Example Interactions
    • Example 1: Listing All Chains
    • Example 2: Listing Bridges with Chains
    • Example 3: Historical Volumes for a Chain
    • Example 4: Daily Token Stats for a Bridge
    • Example 5: Analyzing Bridge Volume
    • License

    Table of Contents

    • Features
    • Prerequisites
    • Installation
    • Tools and Usage
    • Example Interactions
    • Example 1: Listing All Chains
    • Example 2: Listing Bridges with Chains
    • Example 3: Historical Volumes for a Chain
    • Example 4: Daily Token Stats for a Bridge
    • Example 5: Analyzing Bridge Volume
    • License

    Documentation

    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:

    bash
    git clone https://github.com/kukapay/bridge-metrics-mcp.git
       cd bridge-metrics-mcp

    2. Install dependencies:

    bash
    uv sync

    3. 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:

    json
    {
           "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.

    2. **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.

    3. **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.

    4. **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.

    5. **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.

    6. 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:

    code
    List all chains available on DeFiLlama.

    Tool Called: list_chains

    Result:

    code
    +----------------+-------------+---------------+-----------+-------------+
    | 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:

    code
    Show all bridges with their supported chains, sorted by 24-hour volume.

    Tool Called: list_bridges(include_chains=True)

    Result:

    code
    +----+-------------+---------------+-----------------+----------------------------------+
    | 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:

    code
    Get historical volumes for the Ethereum chain.

    Tool Called: get_historical_volumes(chain="ethereum")

    Result:

    code
    +---------------------+---------------+---------------+---------------+---------------+
    | 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:

    code
    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:

    code
    +----------------+--------+----------+------------------+-------------------+------------------+-------------------+
    | 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:

    code
    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:

    code
    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 file for details.

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