Binance▌
by analyticace
Connect to Binance API for real-time market data, trading, and portfolio monitoring with 17 automated tools for efficien
Integrates with Binance cryptocurrency exchange to provide real-time market data, account management, trading operations, and transaction history through 17 specialized tools for automated trading workflows, portfolio monitoring, and financial analysis.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Crypto traders wanting AI-assisted trading
- / Portfolio managers monitoring multiple assets
- / Developers building automated trading bots
- / Analysts needing quick market data access
capabilities
- / Check real-time cryptocurrency prices
- / View account balances and portfolio
- / Execute buy and sell orders
- / Retrieve trading history
- / Monitor market data
- / Manage Binance account settings
what it does
Connects AI assistants to Binance cryptocurrency exchange for trading, market data, and account management through natural language commands.
about
Binance is a community-built MCP server published by analyticace that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to Binance API for real-time market data, trading, and portfolio monitoring with 17 automated tools for efficien It is categorized under finance.
how to install
You can install Binance in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Binance is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Binance MCP Server 🚀
A powerful Model Context Protocol (MCP) server that enables AI agents to interact seamlessly with the Binance cryptocurrency exchange. This server provides a comprehensive suite of trading tools, market data access, and account management capabilities through the standardized MCP interface.
🌟 What is this?
This tool acts as a bridge between AI Assistants (like Claude, Cursor AI, or ChatGPT) and your Binance Account.
Instead of manually navigating the Binance website or app, you can ask your AI to:
- "Check the current price of Bitcoin"
- "Show me my account balance"
- "Buy 0.1 ETH at the current market price"
The AI sends the request to this server, which securely executes it on Binance and returns the result to your AI.
🚀 Quick Start
1️⃣ Installation
The easiest way to install is using pip or uv:
# using pip
pip install binance-mcp-server
# using uv
uv add binance-mcp-server
2️⃣ Configuration
You need your Binance API Keys to allow this tool to access your account.
- Log in to your Binance account and go to API Management.
- Create a new API Key.
- Set the keys as environment variables in your terminal:
# Required: Your Binance API credentials
export BINANCE_API_KEY="your_api_key_here"
export BINANCE_API_SECRET="your_api_secret_here"
# Recommended: Use testnet for development and safe testing
export BINANCE_TESTNET="true"
3️⃣ Running with your AI
Configure for Claude Desktop / VSCode / Cursor
Add the following to your MCP settings configuration file (e.g., claude_desktop_config.json or mcp_config.json):
{
"mcpServers": {
"binance": {
"command": "binance-mcp-server",
"args": [
"--api-key", "your_api_key",
"--api-secret", "your_secret",
"--binance-testnet"
]
}
}
}
🎯 Key Capabilities
- Real-time Market Data: Get live prices, order books, and ticker stats.
- Account Management: specific Check balances and account status.
- Trading Operations: Place buy/sell orders (Market, Limit, etc.).
- Portfolio Tracking: Monitor open positions and Profit/Loss (PnL).
📚 Technical Reference
Available Tools
<details> <summary><strong>Click to expand full list of tools</strong></summary>🏦 Account & Portfolio Management
| Tool | Purpose |
|---|---|
get_balance | Retrieve account balances for all assets |
get_account_snapshot | Point-in-time account state snapshot |
get_fee_info | Trading fee rates (maker/taker commissions) |
get_available_assets | List all tradable cryptocurrencies |
📊 Market Data & Analysis
| Tool | Purpose |
|---|---|
get_ticker_price | Current price for a trading symbol |
get_ticker | 24-hour ticker price change statistics |
get_order_book | Current order book (bids/asks) |
💱 Trading Operations
| Tool | Purpose |
|---|---|
create_order | Create buy/sell orders (market, limit, etc.) |
get_orders | List order history for a specific symbol |
📈 Performance & Analytics
| Tool | Purpose |
|---|---|
get_pnl | Calculate profit and loss for futures trading |
get_position_info | Open futures positions details |
🏪 Wallet & Transfers
| Tool | Purpose |
|---|---|
get_deposit_address | Get deposit address for a specific coin |
get_deposit_history | Deposit history for a specific coin |
get_withdraw_history | Withdrawal history for a specific coin |
🛡️ Risk Management
| Tool | Purpose |
|---|---|
get_liquidation_history | Past liquidation events for futures |
Configuration Variables
| Variable | Description | Required | Default |
|---|---|---|---|
BINANCE_API_KEY | Your Binance API key | ✅ | - |
BINANCE_API_SECRET | Your Binance API secret | ✅ | - |
BINANCE_TESTNET | Use testnet environment | ❌ | false |
🛠️ Development & Contributing
We welcome contributions! If you are a developer looking to improve this project:
- Clone the repo:
git clone https://github.com/AnalyticAce/binance-mcp-server.git - Install dev dependencies:
uv install --devorpip install -e .[dev] - Run tests:
pytest
See CONTRIBUTING.md for detailed guidelines.
📄 License & Disclaimer
License: MIT
Disclaimer: This software is for educational purposes. Cryptocurrency trading involves financial risk. Always use the Binance Testnet for testing and development. The developers are not responsible for any financial losses.
FAQ
- What is the Binance MCP server?
- Binance is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Binance?
- This profile displays 72 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★72 reviews- ★★★★★Fatima Nasser· Dec 20, 2024
We evaluated Binance against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Arya Mehta· Dec 12, 2024
I recommend Binance for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Hana Menon· Dec 8, 2024
Binance is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Neel Menon· Dec 8, 2024
Binance has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Arjun Ramirez· Dec 4, 2024
According to our notes, Binance benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Arya Menon· Nov 27, 2024
Binance is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Zara Desai· Nov 23, 2024
We wired Binance into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★James Okafor· Nov 15, 2024
We evaluated Binance against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ishan Sanchez· Nov 3, 2024
Binance reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Neel Okafor· Oct 22, 2024
Useful MCP listing: Binance is the kind of server we cite when onboarding engineers to host + tool permissions.
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