crypto-pegmon-mcp
The crypto-pegmon-mcp server tracks USD-pegged stablecoin stability across multiple blockchains to identify depegging risks. With this server, you can:
List supported stablecoins with their symbols and descriptions in Markdown format
Fetch current price and peg deviation for specific stablecoins
Retrieve historical price data (default: 7 days) for stablecoins as Markdown tables
Generate comprehensive stability reports with historical data, current price, and stability analysis
Monitors Binance's USD-pegged stablecoin (BUSD) for peg stability, providing price tracking and comprehensive deviation analysis to identify potential risks.
Tracks Circle's USD Coin (USDC) stability, offering current price information, historical data analysis, and peg deviation reports to assess stablecoin integrity.
Formats all stablecoin data and reports in clean Markdown for easy integration into reports or dashboards.
Tracks PayPal's USD-pegged stablecoin (PYUSD) stability through current price monitoring, historical data analysis, and detailed stability reports.
Monitors Tether's USD-pegged stablecoin (USDT) for price deviations from its $1 peg, providing real-time data and stability analysis to detect depegging risks.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@crypto-pegmon-mcp check USDT stability over the past week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Crypto-Pegmon-MCP
An MCP server that tracks stablecoin peg integrity across multiple blockchains, helping AI agents detect depegging risks before they escalate.
Features
Stability Reports: Generate detailed reports assessing stablecoin peg stability, including maximum deviation and status (Stable, Moderately Stable, Unstable).
Real-Time Price Monitoring: Fetch current prices and calculate peg deviation from $1 for USD-pegged stablecoins.
Historical Data Analysis: Retrieve historical price data (up to 7 days by default) in Markdown table format.
Supported Stablecoins: Monitor 17 USD-pegged stablecoins, such as Tether (USDT), USD Coin (USDC), Dai (DAI), and yield-bearing tokens like Ethena Staked USDe (eUSDe).
User-Friendly Output: All data is presented in clean Markdown format for easy integration into reports or dashboards.
Related MCP server: liquidity-pools-mcp
Supported Stablecoins
The server supports the following USD-pegged stablecoins:
Symbol | Description |
USDT | Tether's USD-pegged stablecoin, centrally issued. |
USDC | Circle's USD-backed stablecoin, widely used in DeFi. |
DAI | Decentralized stablecoin by MakerDAO, collateralized by crypto. |
BUSD | Binance's USD-pegged stablecoin, centrally managed. |
TUSD | TrueUSD, a USD-backed stablecoin by TrustToken. |
FRAX | Fractional-algorithmic USD stablecoin by Frax Finance. |
USDD | TRON's USD-pegged stablecoin, centrally issued. |
USDS | USD-pegged stablecoin, focused on stability. |
SUSDS | Staked USDS, yield-bearing stablecoin. |
EUSDE | Ethena's staked USD stablecoin, yield-bearing. |
USDY | Ondo's USD yield stablecoin, designed for returns. |
PYUSD | PayPal's USD-pegged stablecoin for payments. |
GUSD | Gemini Dollar, USD-backed by Gemini Trust. |
USDP | Paxos Standard, a regulated USD stablecoin. |
AAVE-USDC | Aave's USD-pegged stablecoin for lending. |
CURVE-USD | Curve Finance's USD stablecoin for DeFi pools. |
MIM | Magic Internet Money, a decentralized USD stablecoin. |
Installation
Prerequisites
Python 3.10 or higher
uv (recommended for dependency management and running)
Steps
Clone the Repository:
git clone https://github.com/kukapay/crypto-pegmon-mcp.git cd crypto-pegmon-mcpInstall Dependencies: Using uv (recommended):
uv syncRun the Server: Using uv (recommended):
uv run main.py
Usage
The server provides four tools, accessible via the MCP interface. Below are examples for each tool and prompt.
1. List Supported Stablecoins
Retrieve a list of supported stablecoins with their descriptions.
Prompt:
List all supported stablecoins with their descriptions.Output:
**Supported USD-Pegged Stablecoins**: | Symbol | Description | |------------|--------------------------------------------------------| | USDT | Tether's USD-pegged stablecoin, centrally issued. | | USDC | Circle's USD-backed stablecoin, widely used in DeFi. | | ... | ... |
2. Fetch Current Price
Get the current price and peg deviation for a specific stablecoin.
Prompt:
Get the current price of USDT.Output:
**USDT Current Price**: $1.0002, Peg Deviation: 0.02%
3. Fetch Historical Data
Retrieve historical price data for a stablecoin over a specified number of days (default: 7).
Prompt:
Show the price history of USDC for the last 7 days.Output:
**USDC Historical Data (Last 7 Days)**: | Date | Price | Deviation (%) | |------------|--------|---------------| | 2025-04-29 | 1.0001 | 0.0100 | | 2025-04-30 | 0.9998 | -0.0200 | | ... | ... | ... |
4. Analyze Peg Stability
Generate a comprehensive stability report for a stablecoin, including historical data, current price, and analysis.
Prompt:
Analyze the peg stability of DAI over the past week.Output:
- **DAI Historical Data (Last 7 Days)**: | Date | Price | Deviation (%) | |------------|--------|---------------| | 2025-04-29 | 1.0003 | 0.0300 | | ... | ... | ... | - **DAI Current Price**: $1.0000, Peg Deviation: 0.00% - **Stability Analysis for DAI**: - Maximum Deviation: 0.15% - Stability Status: Stable - Note: Deviations > 3% indicate potential depegging risks.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Available Tools
4 toolsanalyze_peg_stabilityB
Generate a peg stability analysis report for a USD-pegged stablecoin.
Args:
coin (str): The symbol of the stablecoin (e.g., 'usdt', 'usdc', 'dai').
days (int, optional): Number of days for analysis. Defaults to 7.
Returns:
str: A Markdown-formatted report with historical data, current price, and stability analysis.
Inputs: coin (required), days.
get_current_priceA
Fetch the current price of a USD-pegged stablecoin in USD and calculate peg deviation.
Args:
coin (str): The symbol of the stablecoin (e.g., 'usdt', 'usdc', 'dai').
Returns:
str: A string with the current price and peg deviation in Markdown format.
Inputs: coin (required).
get_historical_dataA
Fetch historical price data for a USD-pegged stablecoin and return as a Markdown table.
Args:
coin (str): The symbol of the stablecoin (e.g., 'usdt', 'usdc', 'dai').
days (int, optional): Number of days for historical data. Defaults to 7.
Returns:
str: A Markdown table with date, price, and deviation.
Inputs: coin (required), days.
get_supported_stablecoinsA
Fetch the list of supported USD-pegged stablecoins with their symbols and descriptions.
Returns:
str: A Markdown-formatted table listing stablecoin symbols and their descriptions.
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: analyze_peg_stability generates a comprehensive report, get_current_price provides current price and deviation, get_historical_data returns historical data in table format, and get_supported_stablecoins lists available coins. The descriptions clearly differentiate their functions, making misselection unlikely.
All tool names follow a consistent verb_noun pattern using snake_case: analyze_peg_stability, get_current_price, get_historical_data, and get_supported_stablecoins. The naming is predictable and readable throughout, with no deviations in style or convention.
With 4 tools, the count is reasonable for a stablecoin analysis server, covering core functions like current price, historical data, stability analysis, and coin listing. It's slightly lean but well-scoped; adding tools for alerts or deeper analytics could enhance it without being necessary.
The tool surface covers essential operations for stablecoin analysis: listing coins, fetching current and historical data, and generating stability reports. Minor gaps exist, such as lack of update/delete operations or advanced features like alerts, but agents can perform core workflows effectively without dead ends.
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