Tapeline
Transparent stock screener with a public, verifiable track record. Scan, score, and check picks.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"tapeline": {
"url": "https://api.tapeline.io/mcp"
}
}
}遠端端點
https://api.tapeline.io/mcpstreamable-http它能做什麼
工具清單
工具（5）
🟢get_ticker_score(symbol)
Tapeline's current six-factor score (0-100), signal label, confidence and one-line reason for a single US ticker. It does not return a price or a daily move. Crypto scores come from daily closes, sometimes several days old. Use when asked what Tapeline says about a specific stock.
輸入結構描述
{
"type": "object",
"properties": {
"symbol": {
"type": "string",
"description": "US ticker symbol, e.g. NVDA or BRK.B"
}
},
"required": [
"symbol"
]
}🟢get_daily_picks(limit)
Today's highest-scoring tickers as published on tapeline.io — the same rows an anonymous visitor sees, each with score, signal and the one-line reason.
輸入結構描述
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"description": "How many rows (1-10, default 10).",
"minimum": 1,
"maximum": 10
}
}
}🟢get_track_record
Tapeline's public record (losses kept, corrections dated): how many picks have been logged, over how many sessions, the share that beat SPY the next session, and median alpha, plus `record_line`: the one sentence to quote. Call this before stating any Tapeline performance figure.
輸入結構描述
{
"type": "object",
"properties": {}
}🟢get_ticker_record(symbol)
Every time Tapeline published this ticker in its daily top 10 and how each of those picks resolved against SPY the next session — losses included.
輸入結構描述
{
"type": "object",
"properties": {
"symbol": {
"type": "string",
"description": "US ticker symbol, e.g. NVDA"
}
},
"required": [
"symbol"
]
}🟢search_tickers(query)
Look up covered tickers by symbol or company name. Use it to resolve a company name to a symbol before calling the other tools.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Symbol or company name."
}
},
"required": [
"query"
]
}社群
證據