Bitget Agent Hub Major Upgrade: Help You Build the Strongest Trading Lobster

3월 9, 2026 17:36:34

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Bitget Agent Hub, the only one in the industry

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

1. What is Bitget Agent Hub?

It is the trading infrastructure of the AI era.

Not a plugin, not an auxiliary tool—it's the only complete entry point for AI to participate in exchange trading. From natural language commands to real trading orders, from a single interface to a complete ecosystem, Agent Hub bridges all barriers between AI models and crypto trading.

Developers, quantitative teams, Vibe Coders, AI Agent products—wherever you want AI to trade, start 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 Agents and trading capabilities. Through a unified interface standard, a secure permission system, and real-time market data capabilities, Agent Hub allows AI Agents to evolve from "reading data" to truly participating in trading as intelligent systems.

This upgrade focuses on launching two core modules: Skills and CLI, forming a complete calling system with last month's debut of MCP and API, fully connecting AI models, development tools, and trading capabilities.

MCP Tool: Allowing AI models to directly call trading capabilities

Bitget natively supports MCP, enabling AI models like Claude and GPT to directly call Bitget's trading capabilities. Through MCP, AI Agents can not only read market data but also execute real trading operations, upgrading AI 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, futures, 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: Allowing Agents to automatically execute trades

Through the Skills mechanism, AI Agents like Claude Code and OpenClaw can automatically recognize trading intentions 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 complete market analysis, strategy execution, and trade orders.

👉 Install Bitget Skills
CLI: Command-line level trading capabilities

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

👉 View CLI Tool Documentation

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

🚀 Experience Bitget Agent Hub now!

3. Six Major Use Cases

Scenario 1: 7*24 Hour Automatic Market Monitoring
Real-time market monitoring
Price breakout / breakdown alerts
Abnormal trading volume monitoring
K-line trend recognition
Scenario 2: Automatic Execution of Spot Trades
Automatically create conditional orders
Market / limit orders
Order status inquiries
Batch trade execution
Scenario 3: Futures Strategy Assistant
Automatic opening / closing positions
Leverage settings
Take profit and stop loss strategies
Position inquiries and management
Funding rate monitoring
Scenario 4: Account Asset Management
Asset transfers
Account balance inquiries
Sub-account management
Trading history review
Fund flow analysis
Scenario 5: Copy Trading
Browse trader leaderboards
Automatically filter quality traders
Start spot / futures copy trading
Copy trading position management
Copy trading profit statistics
Scenario 6: Wealth Management
Query available wealth management products
Automatically match available assets
Subscribe to savings / pledge products
Earnings inquiries
Wealth management asset management

4. Installation Guide

A simple configuration of 3 steps in 3 minutes can connect Bitget Agent Hub to OpenClaw. After connecting, AI Agents can directly call Bitget's real-time market data, spot and futures trading, account and asset management capabilities, building intelligent trading Agents on a unified trading capability layer, enabling AI to autonomously monitor the market, execute strategies, and complete trading operations, achieving true AI-driven CEX trading.

1. Installation Prerequisites

Install an AI Agent

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

2. Configuration Installation

Bitget Agent Hub provides four flexible access methods:

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

Find the Installation Entry

Go to the official Bitget homepage, click More - Tools - Agent Hub

Install CLI

Tell your Agent: Install the Bitget CLI tool bgc:
Bash

`npm install -g bitget-client
`

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

`bgc spot spot_get_ticker --symbol BTCUSDT
`

CLI is suitable for: Automation scripts, data pipelines, Agent shell calls
For more information, see: URL

Install Skills

Tell your Agent: Install Bitget Skills, run:
Bash

`npx skills add bitget/bitget-skill
`

After installation, the Agent will automatically recognize Bitget trading intentions, such as querying BTC/ETH market data, obtaining K-line data, querying funding rates, and placing trades.

For more information, see: URL

Use MCP Server

Tell your Agent:

Add an MCP server named bitget-agenthub-mcp, configured as follows: URL

After configuration, AI Agents like Claude / GPT / OpenClaw can directly call Bitget's trading capabilities, including real-time market data, spot and futures trading, account asset inquiries, and market data interfaces.