技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
mnemox-ai/tradememory-protocol

mnemox-ai/tradememory-protocol

Layered memory for AI trading agents (trades, patterns, strategy), supporting MT5, Binance and Alpaca.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add tradememory-protocol -- npx -y tradememory-protocol
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1,430 ★ · mnemox-ai/tradememory-protocol · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1,430 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 mnemox-ai/tradememory-protocol;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Getting Started | Use Cases | API Reference | OWM Framework | Limitations | 中文版

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

---
**TradeMemory remembers what it cost.** It is an open-source, local-first memory and brake for AI trading agents: it pulls in your fills, finds where your own history loses money, puts those losing trades in front of your agent before the next order, and can refuse an order that breaks rules you set, before it reaches the broker.
Brokers now let AI agents trade over MCP, with different guardrails: Webull and tastytrade set size or buying-power limits, Interactive Brokers only lets the agent draft an order for you to submit, and Robinhood and Public set no cap you can impose on an external agent (StockBrokers, 2026-09-30). The caps are fixed numbers. None of them looks at how your own past trades went.
Start with your own history
Each closed trade is stored in memory once; running it again stores only new trades. Then it prints where your history loses money. The format, with illustrative numbers:
These are descriptive statistics of your own past trades, not advice about the next one. Hyperliquid's API serves only an address's recent fills, not its whole history, so the sooner it is synced, the more history is kept. Other venues: MT5 and Binance spot sync scripts are in scripts/, and any agent can record a trade with remember_trade.
Before the next order
recall_memories(order="losses_first") puts every losing trade ahead of the rest, the bigger losses in similar conditions first, with their size and P&L. Besides the symbol's most recent trades, it searches the symbol's recent losing trades, so an older loss is not crowded out. The server tells connected agents to call it before proposing a trade. The default order ranks better outcomes higher (by R multiple, where one was recorded) and keeps at least 20% losses in the list.
Connect your agent
Add to Claude Desktop (claude_desktop_config.json):
Then tell Claude: *"Record my AAPL long at $195 — earnings beat, institutional buying, high confidence."*
Claude Code / Cursor / Docker
**Full walkthrough:** Getting Started (Trader Track + Developer Track)
Put a brake in front of your broker (preview)
The proxy extra runs TradeMemory between your agent and your broker's MCP server (Alpaca today). Every tool is forwarded unchanged except the order-placing ones, which Mnemox Control evaluates against a policy you own before they reach the broker. Every evaluation, allowed or refused, is recorded and chained into the audit log. An allowed order comes back with your losing trades from similar conditions first, and tradememory sync alpaca later fills in how each forwarded trade ended, in R when the entry carried a stop. The agent you already have keeps working; only one line of its MCP config changes.
Refused by default: symbols outside your list, orders above your notional and position limits, entries without a bracket stop, any new order after your daily-loss or drawdown limit, cancelling the protective stop of an open position, any tool the brake has not classified, and everything while you have run tradememory proxy halt FULL_HALT. Never blocked: closing a position. Orders at or above approval_notional wait for tradememory proxy approve --terms , which approves exactly the terms you read; the agent retries with the same client_order_id and the same terms, and the proxy forwards it at most once. evaluate_order returns the same decision without placing anything, for pre-checks and for advisory layers in other frameworks. Anything the brake cannot evaluate (a dead quote feed, an unknown asset, an order type the policy does not cover) is refused, not passed through.
Status: tested end-to-end against a stateful fake of Alpaca's MCP server (tests/proxy/), and run against a real Alpaca paper account on 2026-10-01: three refusals (symbol not on the list, entry without a stop, notional over the limit), one allowed one-share bracket order that reached the broker, and one retry with the same client_order_id that was answered from the record without a second order. Options, order replacement, stop-limit and trailing orders are refused rather than evaluated. Your broker keys go only to the broker process the proxy starts; TradeMemory never stores them.
来源
awesome · https://github.com/mnemox-ai/tradememory-protocol
按领域浏览
MCP 服务
Traction
1,430 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引