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Bitpin Exchange MCP Server

MCP Server

MCP server for Bitpin API trading and market data

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Updated Jun 25, 2025

About

A .NET MCP server that exposes tools for interacting with the Bitpin cryptocurrency exchange API, including wallet balances, market data, order placement (limit, market, stop‑limit, OCO), and order management.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Bitpin Exchange MCP Server Tools

The Bitpin MCP Server is a specialized bridge that brings the full power of the Bitpin cryptocurrency exchange into the Model Context Protocol ecosystem. By exposing a rich set of tools that map directly to Bitpin’s REST API, it allows AI assistants—such as Claude—to perform real‑time market analysis and execute trades without leaving the conversational interface. This solves a key pain point for developers: integrating live crypto data and order management into AI‑driven workflows while maintaining a clean, declarative API surface.

At its core, the server offers a comprehensive suite of data‑retrieval tools. Developers can pull wallet balances, market listings, ticker snapshots, and detailed order book information with simple function calls. The ability to fetch both open orders and executed trade histories means an assistant can answer questions about portfolio performance or recent market activity instantly. On the execution side, the server supports all common order types—limit, market, stop‑limit, and OCO (One Cancels the Other)—alongside order cancellation and status queries. This breadth of capabilities turns the server into a one‑stop shop for both passive data access and active trading commands.

Real‑world use cases are plentiful. A portfolio manager can ask an AI assistant to “show me my BTC balance and place a limit sell at 30 kUSD.” A quantitative researcher might request “give me the last 50 trades for BTC‑USDT” and then instruct the assistant to backtest a strategy. Even automated trading bots can be built by chaining MCP calls within a larger AI workflow, allowing for dynamic decision‑making that reacts to market conditions in real time. Because the server follows MCP standards, any LLM that supports the protocol can consume these tools without custom adapters.

Integration is straightforward for developers familiar with MCP. The server is configured via a JSON section in the host application, where API credentials and environment variables are set. Once registered, the MCP client automatically discovers all exposed tools, making them available as structured function calls in the assistant’s prompt. The declarative nature of MCP means that adding or removing a tool simply involves updating the server’s codebase; no changes are required on the client side.

Unique advantages of this implementation include its focus on the Bitpin exchange, which offers a comprehensive set of markets and trading features not always available in other APIs. The server’s OCO support, for instance, lets users manage risk more effectively by combining stop‑limit and limit orders in a single transaction. Additionally, the server’s design encourages best practices such as environment‑based configuration for secrets, reducing the risk of accidental credential leaks. For developers looking to embed live crypto trading into AI applications, the Bitpin MCP Server delivers a robust, protocol‑compliant foundation that balances flexibility with security.