filings
SEC-signed profiles for 8,000+ US public companies from EDGAR filings. Token-efficient.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (4)
- LOWTool 'origin_profile' description lacks action verbin origin_profile
- LOWTool 'origin_timeline' description lacks action verbin origin_timeline
- LOWTool 'origin_person' description lacks action verbin origin_person
- LOWTool 'origin_filings' description lacks action verbin origin_filings
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"filings": {
"url": "https://origin.rootz.global/mcp"
}
}
}Remote-Endpunkte
https://origin.rootz.global/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (9)
⚪origin_company(ticker)
Look up a US public company by ticker. SEC-verified, ~200 tokens. Use this FIRST for any company query.
Eingabe-Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker (e.g. AAPL, MSFT, WAVX) or CIK number"
}
},
"required": [
"ticker"
]
}⚪origin_profile(ticker)
Full company profile: people, products, partnerships. ~800 tokens.
Eingabe-Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
}
},
"required": [
"ticker"
]
}⚪origin_timeline(ticker)
Quarter-by-quarter history from SEC filings. ~2000 tokens.
Eingabe-Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
}
},
"required": [
"ticker"
]
}⚪origin_person(name)
Career path across US public companies.
Eingabe-Schema
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Person name"
}
},
"required": [
"name"
]
}🟢origin_search(query)
Cross-company search by keyword, technology, or person.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string"
}
},
"required": [
"query"
]
}⚪origin_filings(ticker, form)
SEC filing index with EDGAR links.
Eingabe-Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
},
"form": {
"type": "string",
"description": "Optional: 10-K, 10-Q, 8-K"
}
},
"required": [
"ticker"
]
}🟢origin_transcripts(ticker, topic, q, first)
Search earnings call transcripts. Query by topic (ai, trusted_computing, blockchain, data_center, etc.), company ticker, or free text. Returns extracted facts, speakers, and metrics from earnings calls.
Eingabe-Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Optional: filter by company ticker"
},
"topic": {
"type": "string",
"description": "Optional: topic tag (ai, trusted_computing, blockchain, data_center, quantum, cybersecurity, robotics, autonomous, gaming, etc.)"
},
"q": {
"type": "string",
"description": "Optional: free text search across facts"
},
"first": {
"type": "boolean",
"description": "Optional: if true, returns first-mention date per company for the topic"
}
},
"required": []
}🟢origin_engage(email, tickers, frequency)
Enroll a user for company research briefings. The user provides their email and tickers to watch. They get weekly or daily digests with filing signals, earnings facts, and AI interest data. Use this when a user says they want to track companies or get regular updates.
Eingabe-Schema
{
"type": "object",
"properties": {
"email": {
"type": "string",
"description": "User email address"
},
"tickers": {
"type": "array",
"items": {
"type": "string"
},
"description": "Array of stock tickers to watch (max 20)"
},
"frequency": {
"type": "string",
"enum": [
"daily",
"weekly",
"monthly"
],
"description": "How often to send briefings (default: weekly)"
}
},
"required": [
"email",
"tickers"
]
}🟢origin_digest(email)
Get the latest research digest for an enrolled user. Returns filing signals, recent facts, stock quotes, and AI agent interest levels for their watched companies. Use this to brief a user on their portfolio.
Eingabe-Schema
{
"type": "object",
"properties": {
"email": {
"type": "string",
"description": "User email address"
}
},
"required": [
"email"
]
}Community
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