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Bybit MCP Server

MCP Server

AI‑powered bridge to Bybit trading

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Updated Sep 13, 2025

About

A Model Context Protocol server that lets AI tools like Claude Code and Cursor query market data, manage accounts, and execute trades on Bybit’s exchange—safe to test on the testnet or trade real funds on mainnet.

Capabilities

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

Bybit MCP Server

The Bybit MCP Server bridges the gap between conversational AI assistants and the Bybit cryptocurrency exchange. By exposing a standardized set of tools—market data, account management, and trading commands—it allows developers to embed real‑time exchange interactions directly into code generation or natural language workflows. This eliminates the need for manual API calls, reducing boilerplate and allowing AI agents to reason about market conditions and execute trades autonomously.

At its core, the server provides a clean abstraction over Bybit’s REST endpoints. Market tools such as , , and give the assistant instantaneous access to price feeds, depth snapshots, and historical candlesticks. Account tools (, , ) expose portfolio details without exposing sensitive credentials. Trading tools (, , ) enable the assistant to act on signals or user prompts, but only when the environment is explicitly set to testnet—an essential safety feature that protects real funds.

Real‑world scenarios benefit from this integration in several ways. A developer can build a strategy assistant that monitors volatility, evaluates risk metrics, and places orders on demand. A data scientist can query historical price series through a conversational interface to prototype models, then trigger live backtests. A portfolio manager can ask the assistant for balance snapshots or to liquidate positions during market stress, all while keeping the workflow within a single chat session. Because MCP servers are language‑agnostic, any tool that understands the protocol—Claude Code, Cursor, or future clients—can consume these capabilities without custom adapters.

Integration is straightforward: the server runs as a local process, exposing its tools via MCP’s JSON‑over‑stdin protocol. AI assistants configure the server once in their settings, then invoke tools by name and parameters. The assistant’s natural language understanding translates user intent into tool calls, while the server handles authentication, rate‑limiting, and error handling. This decoupling lets developers focus on higher‑level logic while the server guarantees secure, authenticated communication with Bybit.

Unique advantages of the Bybit MCP Server include its built‑in testnet support, automatic API key redaction for security, and a comprehensive tool set that covers almost all common exchange interactions. By delivering these capabilities through MCP, the server ensures compatibility with future AI assistants and promotes a modular architecture where new tools can be added without altering client code.