Written by: Bitget

• Most comprehensive functionality coverage: Supports 9 major modules, 58 tools, and hundreds of features, covering spot, contracts, copy trading, wealth management, and P2P across the entire chain;
• Most complete standards support: Simultaneously supports four standards: MCP / Skills / API / CLI; whichever standard you use, we are fully compatible;
• Fastest access speed: Complete access in 3 minutes, allowing your lobster to immediately have full trading capabilities.

1. What is Bitget Agent Hub?

It is the trading infrastructure of the AI era.

Not a plugin, not an auxiliary tool — it is the only complete entrance for AI to participate in exchange trading. From natural language commands to live orders, from a single interface to a complete ecosystem, Agent Hub removes all barriers between AI models and cryptocurrency trading.

Developers, quantitative teams, Vibe Coders, AI Agent products — as long as you want to let AI trade, start from here.

Nine Major Capability Modules · 58 Tools

2. How does Agent Hub empower your Agent?

In this product upgrade, we have built a complete AI-native trading development system around the deep integration of AI Agent and trading capabilities. Through unified interface standards, a secure permission system, and real-time market data capabilities, Agent Hub allows AI Agents to evolve from "reading data" into truly participating intelligent trading systems.

This upgrade focuses on launching two core modules, Skills and CLI, forming a complete calling system with last month’s first release of MCP and API, fully connecting the chains between AI models, development tools, and trading capabilities.

MCP Tool: Allows AI Models to Directly Call Trading Capabilities

Bitget has natively supported MCP, enabling AI models like Claude and GPT to directly invoke Bitget's trading capabilities. Through MCP, AI Agents can not only read market data but also execute real trading operations, allowing AI to upgrade from "understanding the market" to "participating in trading."

👉 Experience MCP Tool

API: Complete Trading Interface System

Bitget provides a complete REST+WebSocket API, covering all core trading scenarios such as spot, contracts, and copy trading, with low latency and high availability trading infrastructure. Developers can build automated trading systems, quantitative strategies, and AI-driven trading applications based on the API.

👉View API Documentation

Skills: Allows Agent to Automatically Execute Trades

Through the Skills mechanism, AI Agents like ClaudeCode and OpenClaw can automatically recognize trading intents on Bitget and call the exchange API in real time through the bgc tool. Developers do not need to manually configure complex commands, allowing Agents to automatically perform market analysis, execute strategies, and place orders.

👉Install Bitget Skills

CLI: Command Line Level Trading Capability

Bitget also launched the CLI command line tool (bgc), allowing direct invocation of all Bitget APIs through Shell, and provides standardized JSON output. This tool is suitable for script automation, data pipelines, and system-level calls for AI Agents, making trading capabilities easy to embed in various development environments.

👉View CLI Tool Documentation

Through MCP+API+Skills+CLI four modules, Bitget is building an AI Native trading infrastructure, enabling both developers and AI Agents to more easily access trading capabilities and quickly build the next generation of smart trading applications.

🚀 Experience Bitget Agent Hub now

3. Six Major Use Cases

Use Case 1: 7*24 Hour Automatic Market Watching

• Real-time market monitoring
• Price breakout / drop alerts
• Volume anomaly monitoring
• K-line trend recognition

Use Case 2: Automatically Execute Spot Trades

• Automatically create conditional orders
• Market order / Limit order trading
• Order status inquiry
• Batch trading execution

Use Case 3: Contract Strategy Assistant

• Automatically open/close positions
• Leverage settings
• Take profit and stop loss strategies
• Position inquiry and management
• Funding rate monitoring

Use Case 4: Account Asset Management

• Asset transfer
• Account balance inquiry
• Sub-account management
• Trading history review
• Capital flow analysis

Use Case 5: Copy Trading

• Browse trader rankings
• Automatically filter high-quality traders
• Start spot / contract copy trading
• Copy trading position management
• Copy trading profit statistics

Use Case 6: Wealth Management

• Inquire about available wealth management products
• Automatically match available assets
• Subscribe to savings / pledge products
• Yield inquiry
• Wealth management asset management

4. Installation Guide

With 3 simple configuration steps in 3 minutes, you can connect Bitget Agent Hub to OpenClaw. After connecting, AI Agents can directly call Bitget's real-time market data, spot and contract trading, account and asset management capabilities, building smart trading Agents on a unified trading capability layer that enables AI to autonomously monitor the market, execute strategies, and complete trading operations, achieving truly AI-driven CEX trading.

1. Installation Prerequisites

Install an AI Agent

Bitget Agent Hub supports all mainstream Agents, including Claude Code, Cursor, and OpenClaw.

2. Configure Installation

Bitget Agent Hub provides four flexible access methods:

• AI Skills: Endow your Agent with trading capabilities through Skills, allowing it to use natural language to call for market inquiries, strategy execution, and trading operations without manually writing complex API call logic.
• MCP: Based on the Model Context Protocol, allowing Bitget's trading infrastructure to seamlessly connect various AI Agents and large model applications to achieve standardized capability calls.
• API: Provides complete REST and WebSocket interfaces, enabling developers to directly access Bitget's market, trading, and account capabilities through the API for more granular control and system integration.
• CLI: Launch CLI command line tool (bgc), supporting direct invocation of all Bitget APIs via Shell, and provides standardized JSON output. This tool is suitable for script automation, data pipelines, and system-level calls for AI Agents, enabling trading capabilities to be easily embedded in various development environments.

Find the installation entrance

Go to the official Bitget homepage, click more - tools - Agent Hub

Install CLI

Tell your Agent:

Install the Bitget CLI tool bgc:

npm install -g bitget-client

After installation, you can call the Bitget API via command line, for example:

bgc spot spot_get_ticker --symbol BTCUSDT

CLI is suitable for:

• Automated scripts
• Data pipelines
• Agent shell calls

More information can be found at: URL

Install Skills

Tell your Agent:

Install Bitget Skills, run:

npx skills add bitget/bitget-skill

After installation, the Agent will automatically recognize Bitget trading intents, for example:

• Inquire about BTC/ETH market
• Get K-line data
• Inquire about funding rates
• Place trading orders

More information can be found at: URL

Use MCP Server

Tell your Agent:

Add an MCP server, name it bitget-agenthub-mcp, with the following configuration: URL

After configuration, AI Agents such as Claude / GPT / OpenClaw can directly call Bitget's trading capabilities, including:

• Real-time market data
• Spot and contract trading
• Account asset inquiries
• Market data interface

More information can be found at: URL

Use API

Developers can also directly call Bitget API.

Bitget provides a complete:

• REST API
• WebSocket
• Spot / Contract trading interface

More information can be found at: URL

3. Execute Trades

Start a conversation with the Agent!