Tapeline
Server Details
Transparent stock screener with a public, verifiable track record. Scan, score, and check picks.
- Status
- Healthy
- Uptime
- 99.9% over 47 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- Repository
- cham-p24/tapeline
- GitHub Stars
- 0
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of selecting the wrong one. Its purpose (fetch Tapeline's six-factor score for a single ticker) is stated explicitly and unambiguously.
The lone name get_ticker_score follows a clear verb_noun pattern with snake_case. There is nothing to be inconsistent with, and the name accurately reflects the action and resource.
A single tool is defensible for a narrow, single-endpoint scoring service, but the surface is thin for anything beyond one-ticker lookups. There is no way to batch, compare, or explore coverage, which limits usefulness.
It covers the core read of one ticker's score, and the description is honest about not returning price/move and about stale crypto closes. However, batch scoring, historical/trend scores, or a way to discover which tickers are covered are notable gaps that will force agents into awkward workarounds.
Available Tools
1 toolget_ticker_scoreGet a ticker's Tapeline scoreAInspect
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. Pass the exact US ticker symbol.
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | US ticker symbol, e.g. NVDA or BRK.B |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does disclose non-obvious behavior: no price/daily-move return and crypto scores being derived from daily closes that may be several days stale. It omits auth requirements, rate limits, and error behavior, but the staleness caveat is genuinely useful context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Four short sentences, front-loaded with what is returned followed by scope caveats. The trailing 'Pass the exact US ticker symbol' partially duplicates the schema description, a minor redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, so the description must describe returns — and it does so well (score, label, confidence, one-line reason). For a single-symbol lookup this is nearly complete; only error/empty-result behavior is unaddressed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the sole parameter is already documented with an example (NVDA or BRK.B). The description's 'pass the exact US ticker symbol' adds only mild reinforcement over the schema, so baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ('Tapeline's current six-factor score... for a single US ticker') and enumerates the returned fields (score, signal label, confidence, reason). It also carves out what it is not ('does not return a price or a daily move'), which sharply bounds the tool's identity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Use when asked what Tapeline says about a specific stock', giving a clear triggering condition. It lacks any explicit when-not or alternative-tool routing, but with no siblings listed there is nothing to route to.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Removed
search_tickers
3 tool updates
- Removed
get_daily_picks - Removed
get_ticker_record - Removed
get_track_record
1 tool update
- Changed
get_daily_picks1 field changed- added
Input schema / properties / max_missingAdded value: +{ + "description": "Optional. Only rows missing at most this many of the checks that apply to them (0 = every applicable check measured). With it set, the list is a filtered view, not the published top 10.", + "maximum": 5, + "minimum": 0, + "type": "integer" +}
5 tool updates
- First observed
get_daily_picks - First observed
get_ticker_record - First observed
get_ticker_score - First observed
get_track_record - First observed
search_tickers
Related MCP Connectors
Screen and score stocks with the Quality Screener engine: filters, custom scores, and history.
Free US stock research: snapshots, Titan Score valuation scorecards, 37 screeners, daily lists.
Primary-source equity research: scores, screens, filings, insider trades and 13F holdings.
Free stock, ETF & crypto analysis: 10-point score, verdict and key metrics for any ticker.
Related MCP Servers
- FlicenseNot gradedqualityCmaintenanceScreens US-listed stocks and ETFs for Sharia compliance, providing auditable verdicts with SEC filing citations and multiple screening methodologies.-

Rozkoduj MCPofficial
AlicenseAqualityBmaintenanceProvides AI assistants with market screening, analysis, and scoring across stocks, crypto, and forex, enabling natural language queries for trading insights.4MIT
Tickerbot MCP Serverofficial
AlicenseAqualityBmaintenanceEnables scanning and querying stock market data across thousands of US tickers and top cryptos, with tools for signal analysis, historical replay, and webhook subscriptions.3552 npmMIT- AlicenseAqualityAmaintenanceInvestment decision tools for AI agents: portfolio status, isolated multi-agent committee analysis, auditable verdict history, and lookahead-protected backtests. Advisory only, no auto-trading; negative research results published.21253 PyPI87MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.