filings
SEC-signed profiles for 8,000+ US public companies from EDGAR filings. Token-efficient.
我该使用它吗
质量与安全性
发现（4）
- LOWTool 'origin_profile' description lacks action verb在 origin_profile 中
- LOWTool 'origin_timeline' description lacks action verb在 origin_timeline 中
- LOWTool 'origin_person' description lacks action verb在 origin_person 中
- LOWTool 'origin_filings' description lacks action verb在 origin_filings 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"filings": {
"url": "https://origin.rootz.global/mcp"
}
}
}远程端点
https://origin.rootz.global/mcpstreamable-http它能做什么
工具清单
工具（9）
⚪origin_company(ticker)
Look up a US public company by ticker. SEC-verified, ~200 tokens. Use this FIRST for any company query.
输入模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
}
},
"required": [
"ticker"
]
}⚪origin_timeline(ticker)
Quarter-by-quarter history from SEC filings. ~2000 tokens.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
}
},
"required": [
"ticker"
]
}⚪origin_person(name)
Career path across US public companies.
输入模式
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Person name"
}
},
"required": [
"name"
]
}🟢origin_search(query)
Cross-company search by keyword, technology, or person.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string"
}
},
"required": [
"query"
]
}⚪origin_filings(ticker, form)
SEC filing index with EDGAR links.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"email": {
"type": "string",
"description": "User email address"
}
},
"required": [
"email"
]
}社区
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