Signal Ledger Financial Intelligence
Paid bilingual MCP tools for evidence-linked SEC filing risk and finance-author track records.
Sollte ich dies verwenden
Qualität und Sicherheit
A
Befunde (1)
- LOWTool 'get_author_track_record' description lacks action verbin get_author_track_record
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
~1,562Tokens (Tool-Definitionen)
~7.2 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.22% von 128k Kontext)
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"signal-ledger-financial-intelligence": {
"url": "https://43-135-4-66.sslip.io/mcp"
}
}
}Remote-Endpunkte
https://43-135-4-66.sslip.io/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (2)
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🟢analyze_financial_report_risk(mode, company, report_text, source_context, symbol, ...)
Paid full audit ($0.25 USDC): analyze financial-statement risk, earnings quality, cash-flow anomalies, accounting red flags, debt pressure, governance issues and data quality. Supply report text, or provide a US stock symbol to retrieve an official SEC filing automatically. Returns evidence-linked, machine-readable risk findings. / 收费完整体检（0.25 USDC）：识别财报风险、盈利质量、现金流异常、会计红旗、偿债压力、治理与数据质量问题；可提交原文，也可只提供美股代码自动获取 SEC 原始公告。
Eingabe-Schema
{
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"text",
"symbol"
],
"description": "Optional explicit mode. It is inferred from report_text or symbol when omitted."
},
"company": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"description": "Optional company name for text mode."
},
"report_text": {
"type": "string",
"minLength": 200,
"maxLength": 100000,
"description": "Plain text from a financial statement, annual report, quarterly report, SEC 10-K, 10-Q or 8-K filing."
},
"source_context": {
"type": "object",
"additionalProperties": false,
"description": "Optional provenance metadata for caller-supplied text.",
"properties": {
"source_name": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"source_url": {
"type": "string",
"format": "uri",
"maxLength": 2048
},
"report_period": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"published_at": {
"type": "string",
"format": "date-time"
},
"retrieved_at": {
"type": "string",
"format": "date-time"
},
"metric_basis": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"cross_checked_sources": {
"type": "array",
"maxItems": 5,
"items": {
"type": "string",
"minLength": 1,
"maxLength": 2048
}
}
}
},
"symbol": {
"type": "string",
"pattern": "^[A-Za-z][A-Za-z0-9.-]{0,14}$",
"description": "US-listed ticker symbol, for example AAPL or BRK.B. The service fetches an official filing."
},
"report_type": {
"type": "string",
"enum": [
"10-K",
"10-Q",
"8-K"
],
"default": "10-K",
"description": "Preferred filing/report type for symbol mode."
},
"period": {
"type": "string",
"pattern": "^(?:latest|FY?20\\d{2}|20\\d{2}(?:Q[1-4]|-Q[1-4]|-\\d{2}-\\d{2})?)$",
"default": "latest",
"description": "latest, 2025/FY2025, 2025-Q4 or YYYY-MM-DD."
}
},
"additionalProperties": false,
"description": "Choose exactly one input source: report_text for caller-supplied text, or symbol to fetch an official filing automatically.",
"oneOf": [
{
"required": [
"report_text"
],
"not": {
"required": [
"symbol"
]
}
},
{
"required": [
"symbol"
],
"not": {
"required": [
"report_text"
]
}
}
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"ok": {
"type": "boolean"
},
"request_id": {
"type": "string"
},
"tool": {
"type": "string"
},
"mode": {
"type": "string"
},
"analysis": {
"type": "object",
"required": [
"risk_score",
"risk_level",
"risk_category",
"severity",
"evidence_quote",
"source_url",
"report_period",
"confidence",
"data_freshness",
"missing_information",
"recommended_follow_up"
],
"properties": {
"risk_score": {
"type": [
"number",
"null"
]
},
"risk_level": {
"type": "string"
},
"risk_category": {
"type": "string"
},
"severity": {
"type": "string"
},
"evidence_quote": {
"type": [
"string",
"null"
]
},
"evidence_verification": {
"type": "string"
},
"source_location": {
"type": [
"object",
"null"
]
},
"document_sha256": {
"type": [
"string",
"null"
],
"pattern": "^[a-f0-9]{64}$"
},
"source_url": {
"type": [
"string",
"null"
],
"format": "uri"
},
"report_period": {
"type": [
"string",
"null"
]
},
"confidence": {
"type": "string",
"enum": [
"high",
"medium",
"limited"
]
},
"data_freshness": {
"type": "object"
},
"missing_information": {
"type": "array",
"items": {
"type": "object"
}
},
"recommended_follow_up": {
"type": "array",
"items": {
"type": "string"
}
}
}
},
"scorecard": {
"type": "object"
},
"error": {
"type": "object",
"required": [
"code",
"message",
"retryable"
],
"properties": {
"code": {
"type": "string"
},
"message": {
"type": "string"
},
"retryable": {
"type": "boolean"
}
}
}
},
"required": [
"ok",
"request_id"
]
}🟢get_author_track_record(handle, window_days, type)
Paid lookup ($0.02 USDC): return a financial author's or stock commentator's resolved prediction history, sample size, hit rate, Wilson confidence interval, coverage, breakdowns and freshness. Useful for creator credibility, investment-influencer reputation and due-diligence workflows. / 收费查询（0.02 USDC）：返回财经作者或股票博主的历史观点成绩、命中率、样本量、置信区间、覆盖范围和数据新鲜度。
Eingabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string",
"pattern": "^@?[A-Za-z0-9_]{1,15}$",
"description": "X/Twitter author handle, with or without @."
},
"window_days": {
"type": "integer",
"minimum": 1,
"maximum": 3650,
"default": 3650,
"description": "Historical lookback window in days."
},
"type": {
"type": "string",
"enum": [
"all",
"stock",
"industry",
"market"
],
"default": "all",
"description": "Filter claims by stock, industry or broad-market scope."
}
},
"required": [
"handle"
],
"additionalProperties": false
}Ausgabe-Schema
{
"type": "object",
"properties": {
"ok": {
"type": "boolean"
},
"request_id": {
"type": "string"
},
"tool": {
"type": "string"
},
"mode": {
"type": "string"
},
"analysis": {
"type": "object",
"required": [
"risk_score",
"risk_level",
"risk_category",
"severity",
"evidence_quote",
"source_url",
"report_period",
"confidence",
"data_freshness",
"missing_information",
"recommended_follow_up"
],
"properties": {
"risk_score": {
"type": [
"number",
"null"
]
},
"risk_level": {
"type": "string"
},
"risk_category": {
"type": "string"
},
"severity": {
"type": "string"
},
"evidence_quote": {
"type": [
"string",
"null"
]
},
"evidence_verification": {
"type": "string"
},
"source_location": {
"type": [
"object",
"null"
]
},
"document_sha256": {
"type": [
"string",
"null"
],
"pattern": "^[a-f0-9]{64}$"
},
"source_url": {
"type": [
"string",
"null"
],
"format": "uri"
},
"report_period": {
"type": [
"string",
"null"
]
},
"confidence": {
"type": "string",
"enum": [
"high",
"medium",
"limited"
]
},
"data_freshness": {
"type": "object"
},
"missing_information": {
"type": "array",
"items": {
"type": "object"
}
},
"recommended_follow_up": {
"type": "array",
"items": {
"type": "string"
}
}
}
},
"scorecard": {
"type": "object"
},
"error": {
"type": "object",
"required": [
"code",
"message",
"retryable"
],
"properties": {
"code": {
"type": "string"
},
"message": {
"type": "string"
},
"retryable": {
"type": "boolean"
}
}
}
},
"required": [
"ok",
"request_id"
]
}Community
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