Bridge Metrics MCP
Provides real-time cross-chain bridge metrics, enabling AI agents to analyze liquidity, transaction flows, and performance across blockchain networks.
README
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.
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
-
Clone the Repository:
git clone https://github.com/kukapay/bridge-metrics-mcp.git cd bridge-metrics-mcp -
Install dependencies:
uv sync -
Install to Claude Desktop:
Install the server as a Claude Desktop application:
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-mcpwith your actual installation path.
Tools and Usage
The server provides the following tools, accessible via JSON-RPC or natural language prompts in compatible clients:
-
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.
-
list_bridges:- Description: Lists all bridges, sorted by 24-hour volume, with optional chain inclusion.
- Parameters:
include_chains(boolean, defaultFalse). - Output: Table with columns
ID,Name,Display Name,Last 24h Volume,Chains.
-
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.
- Description: Fetches historical volumes for a chain or bridge, with dates formatted as
-
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.
-
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.
-
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 file for details.
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