server-sequential-thinking
camilovelezr/server-sequential-thinking
An MCP server that equips AI assistants with a step-by-step sequential thinking tool, featuring dynamic adjustments, thought revisions, and branching logic.
7 5MITUpdated 2025-07-02
64
GoodOverview
This implementation delivers a sequential thinking framework through a Model Context Protocol (MCP) server using a Streamable HTTP transport layer. It allows AI models to break down complex tasks, alter their path mid-reasoning, branch out into alternative approaches, and dynamically modify the required number of steps as understanding evolves.
Capabilities
- ▸Step-by-step thought progression
- ▸Dynamic thought count adjustment
- ▸Revision of previous reasoning steps
- ▸Branching logic for alternative approaches
- ▸HTTP-based MCP communication with SSE support
- ▸Session management and automatic cleanup
Best for
Decomposing intricate software engineering or architectural problems, Multi-step project planning requiring iterative refinement, Debugging scenarios where initial hypotheses need revision, Exploratory problem-solving with branching logical paths
Works with
CursorClaude CodeCodexChatGPTGemini CLIGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
64Task 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%85 → +12.8
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%33 → +4.0
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%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 total63.9 / 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 incorporates origin header validation to mitigate DNS rebinding risks, restricts binding to localhost by default, configures CORS, and utilizes cryptographically secure session identifiers while avoiding sensitive data logging.
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.