Is the PanWatch MCP server actively maintained?

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

PanWatch MCP Server

Name: TNT-Likely/PanWatch
Rating: 3.6 (1 reviews)
Author: TNT-Likely

TNT-Likely/PanWatch

Score: 65.4 Rank #4600 MCP Server

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盯盘侠 PanWatch · 自托管 AI 盯盘助手，集成 TradingAgents 多 Agent 投资决策 | A股/港股/美股实时监控、持仓管理、智能分析、全渠道推送

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Overview

TNT-Likely/PanWatch is a Python tool licensed under MIT. 盯盘侠 PanWatch · 自托管 AI 盯盘助手，集成 TradingAgents 多 Agent 投资决策 | A股/港股/美股实时监控、持仓管理、智能分析、全渠道推送 Topics: ai, llm, openai, pwa, self-hosted, stock, stock-analysis, stock-market, a-share, agent, ai-agent, akshare, deepseek, fastapi, fintech, quant, trading-agents, trading-bot, langgraph, mcp.

Ranked #4600 out of 24840 indexed tools.

Has 1,779 GitHub stars.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

aillmopenaipwaself-hostedstockstock-analysisstock-marketa-shareagentai-agentaksharedeepseekfastapifintechquanttrading-agentstrading-botlanggraphmcp

Score Breakdown

Stars 15% 1,779

1,779 stars → well-known project

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 15%

12/78 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 323

Description Good

License MIT

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

How to Improve

Description low impact

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Issue Health high impact

You have 66 open vs 12 closed issues — triaging stale issues improves health

Dependents medium impact

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

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Details

Stars: 1,779
Forks: 323
Open Issues: 66
Closed Issues: 12
Contributors: 3
Dependents: —
Language: Python
License: MIT
Last Commit: today

Matched Queries

topic:mcp

From the README

# 盯盘侠 PanWatch

**自托管 AI 盯盘助手 · 集成 [TradingAgents](https://github.com/TauricResearch/TradingAgents) 多 Agent 投资决策** — A 股 / 港股 / 美股实时监控、持仓管理、智能分析、全渠道推送

> 🧠 **持仓页点一下 → TradingAgents 9-Agent 投研团队接力分析 → 看多看空辩论 → 风控审查 → PM 决策书,3-5 分钟一条完整推理链,结论直推到你的 IM。**

## 📸 功能一览

| 持仓 · 多账户汇总 | 机会页 · AI 评分选股 |
|:---:|:---:|
|  |  |
| **模拟盘 · 净值曲线 + 绩效** | **个股深度详情** |
|  |  |
| **技术指标共振 · 一眼 MACD/RSI/KDJ** | **价格提醒 · 条件组合触发** |
|  |  |

<details>
<summary>移动端截图</summary>

 

> 📱 支持 PWA，移动端可「添加到主屏幕」当原生 App 用。

</details>

> 💡 如果盯盘侠对你有帮助，点右上角 ⭐ **Star** 支持一下 —— 这是对开源项目最好的鼓励，也能让更多人发现它。

## 🧠 深度分析：TradingAgents 多 Agent 决策

接入 [TradingAgents](https://github.com/TauricResearch/TradingAgents)（76k+ star）多 Agent 投资决策框架，在持仓页点 🧠 图标即可触发：

- **4 类分析师**（技术 / 情绪 / 新闻 / 基本面） → **看多看空辩论** → **风控审查** → **PM 整合决策**
- 3-5 分钟输出完整推理链，结论同步推送到 Telegram / 微信 / 钉钉
- 默认 deepseek-chat，单次 ~$0.05，月度预算可控

## 为什么选择盯盘侠？

- **数据私有** — 自托管部署，持仓数据不经过任何第三方
- **AI 原生** — 不是简单的指标堆砌，而是让 AI 理解你的持仓、风格和目标
- **开箱即用** — Docker 一键部署，5 分钟完成配置

Read full README on GitHub →