agent-trade-kit MCP Server
okx/agent-trade-kit
[](https://agentrank-ai.com/tool/okx--agent-trade-kit/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) OKX trading MCP server — connect AI agents to spot, swap, futures, options & grid bots via the Model Context Protocol.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
okx/agent-trade-kit is a TypeScript MCP server licensed under MIT. OKX trading MCP server — connect AI agents to spot, swap, futures, options & grid bots via the Model Context Protocol. Topics: ai-agent, crypto-trading, mcp, model-context-protocol, okx, typescript.
Ranked #2447 out of 24846 indexed tools.
In the top 10% of all indexed tools.
Ecosystem
Score Breakdown
473 stars → growing community
Last commit 21d ago → recently updated
17/21 issues closed → responsive maintainer
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# OKX Agent Trade Kit [English](README.md) | [中文](README.zh-CN.md) OKX Agent Trade Kit — an AI-powered trading toolkit with two standalone packages: | Package | Description | |---|---| | `okx-trade-mcp` | MCP server for Claude / Cursor and any MCP-compatible AI client | | `okx-trade-cli` | CLI for operating OKX from terminal | --- ## What is this? OKX Agent Trade Kit connects AI assistants directly to your OKX account via the [Model Context Protocol](https://modelcontextprotocol.io). Instead of switching between your AI and the exchange UI, you describe what you want — the AI calls the right tools and executes it. It runs as a **local process** with your API keys stored only on your machine. No cloud services, no data leaving your device. ## Features | Feature | Description | |---------|-------------| | **167 tools across 11 modules (17 sub-modules)** | Full trading lifecycle: market data → orders → algo orders → account management → earn → trading bots → event contracts → newRead full README on GitHub →
Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.