Bridge Metrics MCP
B

Bridge Metrics MCP

An MCP server that provides real-time data of cross-chain bridges, supporting functions such as querying chain lists, bridge information, historical trading volume, and token statistics.
2 points
6.6K

What is Bridge Metrics MCP?

Bridge Metrics MCP is a Model Context Protocol server dedicated to obtaining and analyzing real-time data of cross-chain bridges. It retrieves information from data sources such as DeFiLlama and provides detailed metrics on blockchain bridging activities, including trading volume, liquidity, and performance data.

How to use Bridge Metrics MCP?

Through Claude Desktop or other MCP-compatible clients, you can query various metric data of cross-chain bridges. The server provides a variety of tools to obtain chain information, bridging data, historical trading volume, and token statistics.

Use Cases

Suitable for scenarios such as blockchain data analysis, DeFi investment research, cross-chain bridge performance comparison, liquidity analysis, and cryptocurrency market research.

Main Features

Chain List Query
Get detailed information of all blockchain networks, sorted by Total Value Locked (TVL).
Bridging List
View all cross-chain bridges and the chains they support, sorted by 24-hour trading volume.
Historical Data Query
Get historical trading volume data of a specific chain or bridge, supporting time range filtering.
Token Statistics
View the deposit and withdrawal data of each token within 24 hours, including quantity and US dollar value.
Transaction Details
Get the transaction summary of a specific bridge, including detailed information such as transaction hash, timestamp, and amount.
Intelligent Analysis Prompt
Built-in analysis tools can automatically analyze bridging volume data and compare the performance of different bridges.
Advantages
Real-time data: Provide the latest cross-chain bridge metric data.
Multiple data sources: Integrate information from multiple data sources such as DeFiLlama.
Easy to use: Query complex data through natural language.
Comprehensive coverage: Support mainstream blockchain networks and bridging protocols.
Flexible query: Support multiple filtering and sorting conditions.
Limitations
Dependence on external APIs: Data accuracy depends on third-party data sources.
Technical requirements: Requires a Python 3.10+ environment to run.
Network dependence: Requires a stable network connection to obtain real-time data.
Data delay: There may be a slight delay in data updates.

How to Use

Environment Preparation
Ensure that Python 3.10 or a higher version is installed. It is recommended to use the uv package manager.
Install the Server
Clone the repository and install the dependency packages.
Configure Claude Desktop
Install the server into Claude Desktop.
Start Using
Use natural language to query bridging data directly in Claude.

Usage Examples

Blockchain Network Overview
Quickly understand all available blockchain networks and their TVL rankings.
Bridging Performance Comparison
Compare the 24-hour trading volume and supported chains of different cross-chain bridges.
Historical Data Analysis
Analyze the historical trading trends of a specific chain or bridge.
Token Flow Analysis
Analyze the cross-chain flow of tokens within a specific time period.

Frequently Asked Questions

What kind of technical background is required to use this server?
What is the frequency of data updates?
Which blockchain networks are supported?
What should I do if I encounter connection problems?
Can I customize the data source or add new bridging protocols?

Related Resources

GitHub Repository
The project's source code and latest updates.
DeFiLlama Official Website
The main data source, providing DeFi and bridging data.
Model Context Protocol Documentation
The official documentation and specifications of the MCP protocol.
Python Official Website
The official resources of the Python programming language.
uv Package Manager
A fast Python package installer and resolver.

Installation

Copy the following command to your Client for configuration
{
       "mcpServers": {
           "Bridge Metrics": {
               "command": "uv",
               "args": [ "--directory", "/path/to/bridge-metrics-mcp", "run", "main.py" ]
           }
       }
    }
Note: Your key is sensitive information, do not share it with anyone.

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