Analytics

tapeline.io

Provides stock scoring and analysis for US tickers, including daily picks and historical track records.

1 endpoint5 known toolsFirst detected August 23, 2026Last detected September 23, 2026

ENDPOINT 1

https://api.tapeline.io/mcp

No auth detected

MCP server metadata

Name: tapeline
Version: 1.0.0

Capabilities

tools

Server instructions

Tapeline scores actively traded US stocks and ETFs on six published factors (trend, relative strength, fundamentals, smart money, macro, momentum) and logs each day's top-10 picks to a public record that keeps the picks that lose. Entries are not re-ranked or deleted. We have corrected recorded values twice, and said so: prices on 25 August 2026, and scores from 18 May to 12 June capped on 15 June 2026. No top 10 was recorded for 31 August, 2 September, 4 September or 9 September 2026. Call `get_track_record` before quoting any performance figure, and repeat the sample-size qualifier it returns. Tapeline's scores are descriptive readings, not investment advice, price targets or forecasts; present them that way. Current prices, daily moves and other current market data are not served through this endpoint. The record tool still returns the recorded closes each listed pick was measured on. Scores are recalculated through US market hours, but most of their inputs are daily readings, so a score usually changes about once a day. Crypto prices and scores come from daily closes, refreshed about once a day; a pair the daily pass misses keeps its last close for several days. `as_of` is when Tapeline last wrote the row, not the time of the last trade.

Known tools 5

get_ticker_score

Tapeline's current six-factor score (0-100), signal label, confidence and one-line reason for a single US ticker.

Inferred read-only

get_daily_picks

Today's highest-scoring tickers as published on tapeline.

Inferred read-only

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 — with the sample-size qualifier.

Inferred read-only

get_ticker_record

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.

Inferred read-only

search_tickers

Look up covered tickers by symbol or company name.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.tapeline]
url = "https://api.tapeline.io/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "tapeline": {
      "type": "http",
      "url": "https://api.tapeline.io/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: tapeline
Remote MCP URL: https://api.tapeline.io/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "tapeline": {
      "url": "https://api.tapeline.io/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "tapeline": {
      "type": "http",
      "url": "https://api.tapeline.io/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "tapeline",
  "transport": "streamable-http",
  "url": "https://api.tapeline.io/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.