filings
SEC-signed profiles for 8,000+ US public companies from EDGAR filings. Token-efficient.
사용해야 할까요
품질 및 안전성
발견 사항 (4)
- LOWTool 'origin_profile' description lacks action verborigin_profile에서
- LOWTool 'origin_timeline' description lacks action verborigin_timeline에서
- LOWTool 'origin_person' description lacks action verborigin_person에서
- LOWTool 'origin_filings' description lacks action verborigin_filings에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"filings": {
"url": "https://origin.rootz.global/mcp"
}
}
}원격 엔드포인트
https://origin.rootz.global/mcpstreamable-http할 수 있는 일
도구 목록
도구 (9)
⚪origin_company(ticker)
Look up a US public company by ticker. SEC-verified, ~200 tokens. Use this FIRST for any company query.
입력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
}
},
"required": [
"ticker"
]
}⚪origin_timeline(ticker)
Quarter-by-quarter history from SEC filings. ~2000 tokens.
입력 스키마
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
}
},
"required": [
"ticker"
]
}⚪origin_person(name)
Career path across US public companies.
입력 스키마
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Person name"
}
},
"required": [
"name"
]
}🟢origin_search(query)
Cross-company search by keyword, technology, or person.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string"
}
},
"required": [
"query"
]
}⚪origin_filings(ticker, form)
SEC filing index with EDGAR links.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {
"email": {
"type": "string",
"description": "User email address"
}
},
"required": [
"email"
]
}커뮤니티
증거