agent-trade-kit
Provides a local Model Context Protocol (MCP) server and a CLI to connect AI agents/assistants to an OKX account for trading and trading-related operations (market data queries, order management, account/positions, earn, and bots). Keys are configured locally and the MCP server runs as a local stdio process.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
README states the MCP server runs locally with API keys stored on the machine and no cloud services/data leaving the device (as claimed). A read-only flag and per-module filtering are safety controls. However, the supplied content does not specify transport/security headers for any local vs upstream requests, nor does it detail dependency/vulnerability status or how secrets are stored/logged internally.
⚡ Reliability
Best When
You want AI tools to execute OKX operations directly from a local agent (Claude Desktop/Cursor/any MCP client) with explicit read-only modes and module-level limiting.
Avoid When
You cannot securely handle local API keys or you require auditable server-side governance/audit trails managed externally; also avoid if you need standardized HTTP APIs instead of MCP/stdio.
Use Cases
- • Let an AI assistant perform OKX spot/swap/futures/options trading actions via MCP tools
- • Query market data and technical indicators (no auth required) for agent reasoning
- • Automate order placement/cancellation/amendment and conditional/algo orders through an agent workflow
- • Manage account/positions/bills and execute simple earn/bots from an agent
- • Operate OKX from terminal via the accompanying CLI
Not For
- • Unattended, fully automated trading without human oversight or robust guardrails
- • Use as a general-purpose exchange API without understanding OKX risk/constraints
- • Applications requiring a hosted/sandboxed environment (it is designed for local execution with local keys)
- • Systems that need a REST/HTTP or Webhook-first integration model
Interface
Authentication
Authentication is handled by local configuration for trading/account/bot/earn modules. The README indicates a local-only model where keys are stored on the machine; no OAuth flow or explicit scoped delegation is described.
Pricing
No pricing information provided in the supplied README.
Agent Metadata
Known Gotchas
- ⚠ Trading operations are write actions; an agent may retry after timeouts—without explicit idempotency guidance, this can risk duplicate orders
- ⚠ Models/clients may not respect intended module filtering unless MCP setup/flags are correctly configured
- ⚠ Conditional/algo order parameters must be correct; agents may hallucinate order constraints unless the agent skills/tool schema is followed strictly
- ⚠ Rate limiting exists, but the README does not detail how the client should backoff on 429s/timeouts
Alternatives
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Scores are editorial opinions as of 2026-03-30.