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ENJA

MCP-Server-AlphaVantage

MCP Server

Hasan-Syed25/MCP-Server-AlphaVantage

An MCP server integration with AlphaVantage that supplies real-time stock quotes, technical indicator computations, and market trend assessments for AI assistants.

7 5No licenseUpdated 2025-06-17

Overview

This Model Context Protocol server connects large language models directly to the AlphaVantage financial API. It equips AI agents with programmatic capabilities to fetch live and historical intraday equity pricing, calculate short and long-term moving averages, identify bullish or bearish crossover patterns, and determine momentum levels using the Relative Strength Index.

Capabilities

  • Fetch intraday stock prices
  • Calculate short-term and long-term moving averages
  • Detect trend crossovers including Golden Cross and Death Cross
  • Compute Relative Strength Index (RSI) for momentum analysis
  • Determine overbought and oversold market conditions

Best for

Retrieving live intraday market data for specific stock tickers during a chat session, Running technical indicators like RSI and moving averages on stock price lists, Evaluating market trends for potential buy or sell signals using Golden and Death cross logic

Works with

Claude Code
Evoa Score breakdown= Σ (score × weight)
47
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%75 → +11.3

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%25 → +3.8

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%28 → +3.4

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%40 → +4.0

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%31 → +2.5

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%25 → +1.3

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total55.7 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Requires storing an external API key in local environment variables. Ensure the key is never exposed in client-facing logs or public repositories.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.