Signal Ledger Financial Intelligence
Paid bilingual MCP tools for evidence-linked SEC filing risk and finance-author track records.
Should I use this
Quality & Safety
A
Findings (1)
- LOWTool 'get_author_track_record' description lacks action verbin get_author_track_record
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~1,562Tokens (tool definitions)
~7.2 KBTypical response size
Moderate attention impact (1.22% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"signal-ledger-financial-intelligence": {
"url": "https://43-135-4-66.sslip.io/mcp"
}
}
}Remote endpoints
https://43-135-4-66.sslip.io/mcpstreamable-httpWhat it can do
Tool inventory
Tools (2)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢analyze_financial_report_risk(mode, company, report_text, source_context, symbol, ...)
Paid full audit ($0.25 USDC): analyze financial-statement risk, earnings quality, cash-flow anomalies, accounting red flags, debt pressure, governance issues and data quality. Supply report text, or provide a US stock symbol to retrieve an official SEC filing automatically. Returns evidence-linked, machine-readable risk findings. / 收费完整体检（0.25 USDC）：识别财报风险、盈利质量、现金流异常、会计红旗、偿债压力、治理与数据质量问题；可提交原文，也可只提供美股代码自动获取 SEC 原始公告。
Input Schema
{
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"text",
"symbol"
],
"description": "Optional explicit mode. It is inferred from report_text or symbol when omitted."
},
"company": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"description": "Optional company name for text mode."
},
"report_text": {
"type": "string",
"minLength": 200,
"maxLength": 100000,
"description": "Plain text from a financial statement, annual report, quarterly report, SEC 10-K, 10-Q or 8-K filing."
},
"source_context": {
"type": "object",
"additionalProperties": false,
"description": "Optional provenance metadata for caller-supplied text.",
"properties": {
"source_name": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"source_url": {
"type": "string",
"format": "uri",
"maxLength": 2048
},
"report_period": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"published_at": {
"type": "string",
"format": "date-time"
},
"retrieved_at": {
"type": "string",
"format": "date-time"
},
"metric_basis": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"cross_checked_sources": {
"type": "array",
"maxItems": 5,
"items": {
"type": "string",
"minLength": 1,
"maxLength": 2048
}
}
}
},
"symbol": {
"type": "string",
"pattern": "^[A-Za-z][A-Za-z0-9.-]{0,14}$",
"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})?)$",
"default": "latest",
"description": "latest, 2025/FY2025, 2025-Q4 or YYYY-MM-DD."
}
},
"additionalProperties": false,
"description": "Choose exactly one input source: report_text for caller-supplied text, or symbol to fetch an official filing automatically.",
"oneOf": [
{
"required": [
"report_text"
],
"not": {
"required": [
"symbol"
]
}
},
{
"required": [
"symbol"
],
"not": {
"required": [
"report_text"
]
}
}
]
}Output Schema
{
"type": "object",
"properties": {
"ok": {
"type": "boolean"
},
"request_id": {
"type": "string"
},
"tool": {
"type": "string"
},
"mode": {
"type": "string"
},
"analysis": {
"type": "object",
"required": [
"risk_score",
"risk_level",
"risk_category",
"severity",
"evidence_quote",
"source_url",
"report_period",
"confidence",
"data_freshness",
"missing_information",
"recommended_follow_up"
],
"properties": {
"risk_score": {
"type": [
"number",
"null"
]
},
"risk_level": {
"type": "string"
},
"risk_category": {
"type": "string"
},
"severity": {
"type": "string"
},
"evidence_quote": {
"type": [
"string",
"null"
]
},
"evidence_verification": {
"type": "string"
},
"source_location": {
"type": [
"object",
"null"
]
},
"document_sha256": {
"type": [
"string",
"null"
],
"pattern": "^[a-f0-9]{64}$"
},
"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 ($0.02 USDC): return a financial author's or stock commentator's resolved prediction history, sample size, hit rate, Wilson confidence interval, coverage, breakdowns and freshness. Useful for creator credibility, investment-influencer reputation and due-diligence workflows. / 收费查询（0.02 USDC）：返回财经作者或股票博主的历史观点成绩、命中率、样本量、置信区间、覆盖范围和数据新鲜度。
Input Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string",
"pattern": "^@?[A-Za-z0-9_]{1,15}$",
"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
}Output 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
Evidence
Recent observations
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools