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ENJA

OpenInsider-MCP

MCP Server

btopn/OpenInsider-MCP

OpenInsider-MCP is a Model Context Protocol server that supplies LLMs with free-data investment-research signals including insider trades, SEC filings, short data, and live quotes. It acts as a pure data layer without editorialization or recommendation features.

99 8MITUpdated 2026-08-07

Overview

The OpenInsider MCP server integrates 16 investment-research tools directly into MCP-compatible LLM clients such as Claude Desktop, Cursor, and VS Code. By tapping into public endpoints from OpenInsider, SEC EDGAR, FINRA, and Yahoo Finance, it enables automated retrieval of Form 4 insider transactions, 8-K material events, short interest metrics, and live quotes. Every response is cached in memory and structured as typed observations with zero opinionated scoring, ensuring the orchestrator LLM retains full reasoning control.

Capabilities

  • Search insider trades by ticker or CIK
  • Track live market-wide insider trade firehose
  • Find top insider buys, sells, and multi-insider cluster buys
  • Screen trades using multi-variable filters like role, transaction type, and value
  • Retrieve recent SEC 8-K material events and item codes
  • Check late filing notices (NT-10K/NT-10Q) and activist filings (Schedule 13D)
  • Fetch bi-monthly short interest snapshots and daily short volume
  • Access SEC failures-to-deliver data and Reg SHO threshold list status
  • Obtain live stock quotes with valuation and earnings calendar data

Best for

Querying recent Form 4 insider trades for a specific stock ticker during financial analysis sessions., Investigating market-wide cluster buys and top insider purchases over various time horizons., Checking recent SEC EDGAR corporate filings like 8-K material events, late-filing notices, and Schedule 13D activist filings., Analyzing short interest, daily short-sale flow, and failures-to-deliver for short squeeze research., Pulling real-time stock quotes including price, valuation metrics, and dividend information.

Works with

Claude CodeChatGPTCursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
88
Task usefulness20%100 → +20.0

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%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

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%56 → +6.7

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%100 → +15.0

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%85 → +8.5

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%52 → +4.2

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

Compatibility5%100 → +5.0

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 total87.9 / 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

The server scrapes public data sources and accesses public SEC, FINRA, and Yahoo Finance APIs. It identifies itself via a configurable User-Agent header and implements local in-memory caching to respect rate limits.

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.