Is the tradememory-protocol MCP server actively maintained?

The tradememory-protocol MCP server was last committed 15d ago and has 3 contributors. Issue health: 22% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

tradememory-protocol MCP Server

Name: mnemox-ai/tradememory-protocol
Rating: 3.8 (1 reviews)
Author: mnemox-ai

mnemox-ai/tradememory-protocol

Score: 69.4 Rank #4185 MCP Server

[![AgentRank](https://agentrank-ai.com/api/v1/badge/mnemox-ai--tradememory-protocol)](https://agentrank-ai.com/tool/mnemox-ai--tradememory-protocol/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of mnemox-ai/tradememory-protocol? Claim this listing →

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.

Add AgentRank to Claude Code Discover and compare tools like mnemox-ai/tradememory-protocol — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

mnemox-ai/tradememory-protocol is a Python tool licensed under MIT. Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools. Topics: claude, forex, mcp, memory, mt5, trading, ai-agents, crypto, evolution-engine, mcp-server, outcome-weighted-memory, agentic-trading, audit-trail, compliance.

Ranked #4185 out of 24846 indexed tools.

Has 1,429 GitHub stars.

Ecosystem

Python MIT

claudeforexmcpmemorymt5tradingai-agentscryptoevolution-enginemcp-serveroutcome-weighted-memoryagentic-tradingaudit-trailcompliance

Score Breakdown

Stars 15% 1,429

1,429 stars → well-known project

Freshness 25% 15d ago

Last commit 15d ago → recently updated

Issue Health 25% 22%

2/9 issues closed → many open issues

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 169

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 7 open vs 2 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/mnemox-ai--tradememory-protocol)](https://agentrank-ai.com/tool/mnemox-ai--tradememory-protocol/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/mnemox-ai--tradememory-protocol/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/mnemox-ai--tradememory-protocol" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="mnemox-ai/tradememory-protocol"></script>

Details

Stars: 1,429
Forks: 169
Open Issues: 7
Closed Issues: 2
Contributors: 3
Dependents: —
Language: Python
License: MIT
Last Commit: 15d ago

Matched Queries

topic:mcptopic:mcp-server

From the README

<p align="center">
  
</p>

<div align="center">

[Getting Started](docs/GETTING_STARTED.md) | [Use Cases](docs/USE_CASES.md) | [API Reference](docs/API.md) | [OWM Framework](docs/OWM_FRAMEWORK.md) | [Limitations](LIMITATIONS.md) | [中文版](docs/README_ZH.md)

</div>

---

> **Project status (August 2026):** Feature-complete, in **maintenance mode** — bug and security reports are still reviewed; no new features or hosted service are planned. For paid work, see [Trading Record Analysis](#trading-record-analysis).

**Your trading AI has amnesia. And regulators are starting to notice.**

It makes the same mistakes every session. It can't explain why it traded. It forgets everything when the context window ends. Meanwhile, MiFID II is raising the bar for algorithmic decision documentation ([Article 17](https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32014L0065)). The EU AI Act demands systematic logging of AI actions ([Article 14](https://eur-lex.europa.eu/eli/reg/2024/1689)). Your

Read full README on GitHub →