Binance Mcp

Created By
snjyora year ago
Binance Cryptocurrency MCP - AI-Powered Crypto Market Data Assistant. Access real-time Binance crypto data through your AI assistant! Get prices, charts, order books and trading history with simple questions. Compatible with Claude and Cursor, installs in three command lines. Turn your AI into a 24/7 crypto market terminal!
Overview

What is Binance MCP?

Binance MCP is a Model Context Protocol service that provides access to real-time cryptocurrency market data from Binance, allowing AI agents to execute API calls for various market information.

How to use Binance MCP?

To use Binance MCP, install it via npx and configure it in your MCP-compatible environment. After setup, you can query cryptocurrency data directly through AI agents.

Key features of Binance MCP?

  • Real-time price information for cryptocurrencies
  • Access to order book data
  • Candlestick chart data for different time periods
  • 24-hour price changes and trading history
  • Various tools for specific data retrieval

Use cases of Binance MCP?

  1. Querying current cryptocurrency prices
  2. Analyzing price trends and trading volumes
  3. Accessing historical trading data for analysis

FAQ from Binance MCP?

  • Can I get real-time data for all cryptocurrencies?

Yes! Binance MCP provides data for a wide range of cryptocurrencies available on Binance.

  • Is there a cost to use Binance MCP?

No, Binance MCP is free to use for anyone.

  • How accurate is the data provided by Binance MCP?

The data is sourced directly from Binance's API, ensuring high accuracy.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
snjyor
Star
-
Language
-
License
-

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago