crypto-market-data-aggregator-binance
A Model Context Protocol (MCP) utility providing AI agents with live access to comprehensive cryptocurrency market intelligence sourced directly from the Binance exchange, encompassing pricing streams, order depth structures, historical price bars, and trading statistics.
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snjyor
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Binance Exchange Data Interface via MCP
This service implements the Model Context Protocol (MCP) specification to facilitate programmatic retrieval of current and historical cryptocurrency market data originating from the Binance platform.
Service Overview
This MCP interface empowers autonomous AI entities (such as advanced language models or planning systems) to execute targeted Binance Application Programming Interface (API) interactions. The retrieved data set covers essential market metrics, including instantaneous valuations, limit order book granularity, time-series candlestick representations, and volume metrics.
Core Utility The primary function is to furnish agents with immediate access to up-to-the-minute asset valuations, trading throughput metrics, recent volatility trends, and other relevant exchange dynamics, negating the necessity for external web scraping or proprietary tool invocation.
Available Data Streams The service exposes the following categories of market insights:
- Real-Time Valuations: Fetching the present transactional price for specified digital assets.
- Depth Information: Inspecting the active limit order book structure (bid/ask spread).
- Time-Series Bars (Klines): Retrieving OHLCV (Open, High, Low, Close, Volume) data across configurable temporal resolutions.
- Diurnal Change Metrics: Observing price deviation statistics over a rolling 24-hour period.
- Transaction Ledger: Accessing a chronological record of completed trades.
- Statistical Summaries: Retrieving aggregated price performance metrics across various lookback intervals.
Exposed Functionality (Tools)
| Function Name | Operation Description |
|---|---|
get_price |
Retrieve the contemporary market rate for a designated instrument. |
get_order_book |
Fetch the current depth profile of buy and sell interest. |
get_recent_trades |
List the most recently executed transaction records. |
get_historical_trades |
Acquire a dataset of past trading activities. |
get_aggregate_trades |
Obtain aggregated transaction groupings (e.g., trade blocks). |
get_klines |
Secure K-line (candlestick) data based on symbol and interval. |
get_ui_klines |
Retrieve K-line data pre-formatted for direct user interface rendering. |
get_avg_price |
Determine the volume-weighted average price over a short period. |
get_24hr_ticker |
Report on the normalized price fluctuation statistics for the preceding day. |
get_trading_day_ticker |
Fetch summary statistics pertinent to the current trading session. |
get_book_ticker |
Obtain the best bid and best ask quotes from the order book. |
get_rolling_window_ticker |
Calculate price change statistics over user-defined sliding time frames. |
Integration within Cursor IDE
Global Deployment Procedure Execute the service deployment via NPX:
bash npx -y @snjyor/binance-mcp@latest
In the Cursor Integrated Development Environment:
1. Navigate to Cursor Configuration > MCP Management.
2. Select the option to Establish New MCP Endpoint.
3. Populate the configuration fields:
- Identifier: binance-data-feed
- Endpoint Type: Execution Command
- Command String: npx -y @snjyor/binance-mcp@latest
Local Project Configuration
Embed the following structure within your project's .cursor/mcp.json file:
{ "mcpServers": { "binance-data-feed": { "command": "npx", "args": [ "-y", "@snjyor/binance-mcp@latest" ] } } }
Operational Readiness Upon successful configuration, the Binance market analysis functions will become implicitly available to the AI reasoning modules: 1. The full list of tools will be enumerated within the MCP settings panel. 2. Agents will automatically invoke these utilities when contextual relevance is detected. 3. Manual invocation via explicit prompting remains an option.
Integration in Other MCP-Compliant Frameworks
Configuration manifest for non-Cursor environments:
{ "mcpServers": { "binance-data-feed": { "command": "npx", "args": [ "-y", "@snjyor/binance-mcp@latest" ] } } }
Illustrative Application Scenarios
Inquiry Regarding BTC Current Valuation
What is the presently quoted market price for Bitcoin (BTC)?
Analysis of ETH 24-Hour Performance
Provide a summary of how the price trajectory for Ethereum has evolved over the preceding day.
Retrieving BNB Candlestick History
Display the daily (D1) K-line data set for Binance Coin (BNB) covering the last five reporting periods.
Development & Maintenance
bash
Dependency Installation
npm install
Compilation Step
npm run build
Local Runtime Validation
npm run start
Server Inspection and Debugging
Debugging can be performed utilizing the official MCP Inspector.
Execute the following sequence in your shell:
bash
First, ensure the production artifacts are built
npm run build
Then, initiate the Inspector session, pointing it at the compiled entry point
npx @modelcontextprotocol/inspector node dist/index.js
Licensing
This software is distributed under the terms of the Apache 2.0 License.
WIKIPEDIA: XMLHttpRequest (XHR) is an API in the form of a JavaScript object whose methods transmit HTTP requests from a web browser to a web server. The methods allow a browser-based application to send requests to the server after page loading is complete, and receive information back. XMLHttpRequest is a component of Ajax programming. Prior to Ajax, hyperlinks and form submissions were the primary mechanisms for interacting with the server, often replacing the current page with another one.
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