MCP.Market

Signal Ledger Financial Intelligence MCP server

online · 89% uptime
by blf2097·io.github.blf2097/signal-ledger-financial-intelligence·v1.0.0
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Paid bilingual MCP tools for evidence-linked SEC filing risk and finance-author track records.

B83/100grade B
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Safety scan
B83/100

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Signal Ledger Financial Intelligence tools (2)

write = sends, deletes, buys or posts
  • analyze_financial_report_riskFree

    Paid full audit ($0.25 USDC): analyze financial-statement risk, earnings quality, cash-flow anomalies, accounting red flags, debt pressure, governance issues and data quality. Supply report text, or provide a US stock symbol to retrieve an official SEC filing automatically. Returns evidence-linked, machine-readable risk findings. / 收费完整体检（0.25 USDC）：识别财报风险、盈利质量、现金流异常、会计红旗、偿债压力、治理与数据质量问题；可提交原文，也可只提供美股代码自动获取 SEC 原始公告。

  • get_author_track_recordFree

    Paid lookup ($0.02 USDC): return a financial author's or stock commentator's resolved prediction history, sample size, hit rate, Wilson confidence interval, coverage, breakdowns and freshness. Useful for creator credibility, investment-influencer reputation and due-diligence workflows. / 收费查询（0.02 USDC）：返回财经作者或股票博主的历史观点成绩、命中率、样本量、置信区间、覆盖范围和数据新鲜度。

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 2237ms17/20
  • Tool poisoning2 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 79 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Signal Ledger Financial Intelligence compares

Against every graded Finance MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 75% of 1,761 Finance servers
Tools
2
the typical Finance server has 8
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
89%
of our recent checks; the typical remote Finance server answers 100%
Response time
678 ms
faster than 19% of 1,133 Finance servers

What its tools let an agent do: 2 read

Install Signal Ledger Financial Intelligence in Claude Code, Cursor or VS Code

claude mcp add --transport http signal-ledger-financial-intelligence https://43-135-4-66.sslip.io/mcp
Add to Cursor

What the publisher says

From the Signal Ledger Financial Intelligence repository's README, as published. We do not edit it. Read it on GitHub

Signal Ledger / 聪明钱观点账本

一个可直接运行的“观点与情报审计 Agent”。第一板块每 6 小时从指定 X 账号增量抓取帖子，用 Qwen 抽取个股、行业和市场判断，到期后以真实行情验证；第二板块聚合 Osiris、Third‑Eye 与美国财政部 OFAC 的重大公开事件，把事件拆成对股票、行业、领域和市场的利多/利空影响链。两部分统一在带登录保护的中文仪表盘中展示。

已实现

  • 首次抓取最近 30 天，后续按 X since_id 增量抓取，不重复消费旧帖子。
  • 一条帖子中的多条独立判断拆成多行；只有明确的前瞻判断或买卖/回避建议才入表。
  • 必备字段全部覆盖：判断来源、判断类型、判断对象、判断趋势、原因原文摘录、到期验证时间、到期验证结果。
  • 作者没给期限时使用可解释的默认口径：个股/行业 30 天、市场 7 天；页面会明确标注“系统默认”。
  • 个股用自身价格；行业用映射 ETF；美股市场默认 SPY。涨/跌达到 ±3% 算命中，震荡落在 ±3% 内算命中。
  • “波动加大/收窄”比较到期窗口与此前等长窗口的年化实现波动率，变化至少 15% 才算命中。
  • 服务进程内每 6 小时自动调度，systemd 负责进程异常后的自动恢复。
  • 页面手动刷新与定时任务调用完全相同的抓取、抽取、去重和验证流水线。
  • 按作者汇总最近 3 天帖子；只有帖子集合变化时才重新调用模型，避免重复消耗额度。
  • 判断账本支持按表头排序，并可按作者、类型、对象、趋势、原因、发布时间、到期时间和验证结果筛选。
  • 账本同时展示判断产生时间、到期验证时间、验证口径、结果与原帖详情。
  • 全球情报板块只读取能形成交易传导的重大离散事件：重大新闻、战争/GDELT 冲突、制裁、火山、较强地震、重大天气、网络漏洞和太空天气告警。

工作方式

X API 增量帖子
  ├─ Qwen 结构化抽取 → 判断账本 → 到期行情验证
  └─ 最近 3 天滚动缓存 → Qwen 博主简报

Osiris + Third-Eye 重大事件 + OFAC 制裁更新
  └─ 轻量事件过滤 → 跨来源去重 → Qwen 结构暴露/传导因子 → 代码复算五指数影响分

浏览器 → 登录保护 → 仪表盘 / CSV / 手动刷新

运行数据保存在 data/store.json。该文件、日志和 .env 均不会进入 Git；仓库只保留 data/.gitkeep 作为持久化目录占位。

默认追踪名单

名单在 src/config.js 的 SOURCES 数组里，增删账号不需要改抓取逻辑。

本地运行

要求 Node.js 20 或更高版本；本项目没有第三方 npm 依赖。

cp .env.example .env
# 编辑 .env，至少填 X_BEARER_TOKEN 和 DASHSCOPE_API_KEY
npm start

打开 。首次启动会在约 2 秒后自动跑一轮，也可以点击“立即刷新”。

密钥

  • XBEARERTOKEN：X Developer Portal 创建 App 后获得的只读 Bearer Token。只读取公开帖子，不需要发帖权限。
  • DASHSCOPEAPIKEY：阿里云百炼 API Key，供默认的 Qwen 抽取引擎使用。
  • AIPROVIDER：默认 qwen。如所在地区支持 OpenAI API，也可改为 openai 并配置 OPENAIAPI_KEY。
  • OSIRISBASEURL、THIRDEYEBASE_URL：两个 OSINT 平台的 API 根地址；默认使用公开演示站。OFAC 使用固定的官方 Recent Actions 地址。
  • INTELLIGENCELOOKBACKDAYS：保留并展示的情报回看天数，默认 7 天。
  • INTELLIGENCEMAXANALYZE：每轮最多交给模型分析的新增事件数，默认 40；进入模型前已过滤遥测、弱地震、普通火点和过期事件。

密钥只从环境变量读取；.env 和运行时数据文件都已加入 .gitignore。

数据和验证口径

运行时状态保存在 data/store.json，写入时使用临时文件原子替换。生产部署需要把 /app/data 挂载到持久卷，否则容器重启会丢失历史。

价格验证使用 Yahoo Finance 图表接口返回的复权日线：

  1. 起点取发帖当天或之后第一个可用交易日。
  2. 终点取到期日当日或之前最后一个可用交易日。
  3. 涨：区间收益 >= +3%；跌：<= -3%；震荡：绝对收益 < 3%。
  4. 阈值可用 VALIDATIONTHRESHOLDPCT 修改。
  5. 行情暂缺时标记“行情数据暂缺”，后续每轮自动重试，不会误判。

行业映射在 src/config.js 的 INDUSTRY_BENCHMARKS 中。无法识别的行业当前用 SPY 兜底，并在页面明确标注。

五大指数影响分

每个重大事件都保留在事件视图中，并对五个指数分别生成一条记录。Qwen 只负责依据事件证据和指数结构选择标准化传导通道，并给出 exposure（指数暴露）、transmission（传导清晰度）、confidence（方向证据可靠性）、方向和期限；最终分数、因果链与反向条件均由代码生成，模型的自由文本指数解释不会直接展示：

证据基础分 = 20% × 事件相关度
           + 20% × 事件严重度
           + 30% × 传导清晰度
           + 25% × 方向置信度
           +  5% × 独立来源广度

单事件指数影响分 = 方向符号 × 证据基础分 × (指数暴露/100) × 新鲜度因子 × 期限系数

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

  • 2026-09-19downgradeA → Bscore 83

Signal Ledger Financial Intelligence: common questions

Is Signal Ledger Financial Intelligence MCP server safe?
Mostly: it is graded B (83/100). Read the Signal Ledger Financial Intelligence safety report
How do I install Signal Ledger Financial Intelligence?
It runs remotely at 43-135-4-66.sslip.io. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Signal Ledger Financial Intelligence need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Signal Ledger Financial Intelligence maintained?
The last commit was 100 days ago (2026-07-27). The latest release is v1.0.0.
Is Signal Ledger Financial Intelligence up?
89% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Signal Ledger Financial Intelligence?
Servers from other publishers that do the same job: RoboSystems MCP server, Tapetide - Indian Stock Market MCP server and Finance Toolkit MCP server.
How does Signal Ledger Financial Intelligence compare with other Finance MCP servers?
safety score 83/100 (higher than 75% of 1,761 Finance servers); tools 2 (the typical Finance server has 8); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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