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Tapeline

Transparent stock screener for scanning, scoring, and checking stock picks through MCP.

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Install Tapeline

Pick your client, then add it in one click or paste the config.

No confirmed install command yet

We only publish a config when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Tapeline, and we’d rather show nothing than a guess you’d paste into your client.

Open setup steps on GitHub

Overview

The Tapeline MCP server exposes a transparent stock-screening workflow for scanning, scoring, and checking stock picks. Its stated distinguishing feature is a public, verifiable track record. Reach for it when an agent needs the documented stock-screening functions and track-record context.

Use cases

  • Scan stocks for potential candidates
  • Score stocks in a screening workflow
  • Check previously selected picks
  • Review a public stock-picking track record

Key features

  • Stock scanning
  • Stock scoring
  • Pick checking
  • Public track-record reference
  • Transparent screening workflow

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

Not checked yetLast checked 6d ago

We have not completed a health check for this listing yet.

2/8 checks healthy over the last 44d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

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Scanned 22d ago via OSV.dev

How Tapeline works

What the Tapeline MCP server does

The Tapeline MCP server is described as a transparent stock screener with a public, verifiable track record. Its stated workflow covers three activities: scanning for stocks, assigning scores to candidates, and checking picks. These capabilities make it relevant to agent workflows that need to examine stock candidates or review previously selected picks.

The available project information does not explain the screening criteria, scoring model, supported markets, asset classes, or definition of a pick. It also does not identify whether results include prices, financial statements, technical indicators, rankings, or other market data. Those details should be confirmed in the repository before using Tapeline for a specific research process.

How it works

The documented interaction model is organized around scanning, scoring, and checking. A scan is intended to identify stock candidates, scoring evaluates or ranks candidates, and checking reviews picks. The description also points to a public, verifiable track record, but it does not specify how that record is published, updated, calculated, or validated.

The Tapeline MCP server may be useful as a focused interface for an AI agent working with this screening workflow. Developers should avoid depending on undocumented inputs or outputs until the source documentation is available.

Setup and configuration

The repository URL is provided, but the README is unavailable here, so installation commands, runtime requirements, transport configuration, and authentication details cannot be confirmed.

No environment variables are documented. The Tapeline MCP server should therefore be evaluated from the repository’s own installation and configuration files rather than from assumed defaults. Client-specific setup is also not documented.

Tools and capabilities

The stated capabilities are:

  • Scan for stock candidates.
  • Score stocks or screening results.
  • Check stock picks.
  • Expose a public, verifiable track record as part of the product description.

It also does not document filtering options, scoring inputs, result pagination, historical queries, export formats, or write operations.

Limitations and notes

The available description is too limited to establish data freshness, market coverage, investment methodology, performance measurement, or operational reliability. A public track record does not by itself establish that results are suitable for trading or investment decisions.

The Tapeline MCP server should be treated as a candidate for stock-screening workflows until its repository documentation confirms the implementation details.

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about Tapeline

Tapeline is an MCP server that connects an AI agent to a transparent stock screener with a public, verifiable track record. Its documented functions are scanning stocks, scoring candidates, and checking picks.

The repository URL is provided, but its README is unavailable, so commands, dependencies, transport settings, and runtime requirements must be confirmed from the source.

No supported MCP clients or client-specific configuration details are identified, so compatibility should be verified from the repository before setup.

Tapeline can check stock picks according to its stated capabilities. The available description does not explain what checks are performed, which inputs are required, or how results are returned.

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