Tao Decomposition ProverをChatGPTとClaudeに接続

• 01 / 02プロジェクト計画の精査方法
• 02 / 02How to validate migration logic

最速日

718ms

最遅日

1167ms

14日間の傾向

遅延傾向+30%

Tao Decomposition Prover Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_BY2Eqf2cYZjOM8oyO1bpxVDXT3nxk7rkjvU9RFQH/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Tao Decomposition Prover capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "tao-decomposition-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BY2Eqf2cYZjOM8oyO1bpxVDXT3nxk7rkjvU9RFQH/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Tao Decomposition ProverをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  プロジェクトマネージャー

  大規模な組織変更やシステム刷新における、計画の漏れやリスクを最小化したいリーダー。

• 02

  システムアーキテクト

  単一の設計思想に固執せず、多角的な要件定義と厳密な検証を行いたい設計者。

• 03

  戦略コンサルタント

  クライアントに対し、推測ではなく、検証可能な論理的根拠に基づいた提案を行いたい専門家。

• 01

  What is the Tao Decomposition Prover?

  It is an MCP that enforces a rigorous problem-solving methodology based on the work of Terence Tao. It prevents AI agents from making monolithic or unverified decisions.

• 02

  How does this MCP prevent AI errors?

  It identifies five specific failure modes: Decomposition Absent, Collaboration Missing, Domains Uncrossed, Progress Opaque, and Rigor Abandoned. If an agent's plan falls into these categories, the MCP rejects it.

• 03

  Can I use this with Claude or Cursor?

  Yes, you can connect this MCP to any compatible client including Claude, Cursor, and Windsurf.

• 04

  What happens if my agent's plan is rejected?

  The MCP returns a specific verdict explaining which pillar failed. Your agent must then fix that specific gap and resubmit the plan.

• 05

  Do I need to host this myself?

  No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

• 06

  Is this only for complex organizational migrations?

  No. Tao's method applies to any problem with multiple interacting parts. product development (decompose into research + design + prototype + validation), incident resolution (decompose into reproduce + isolate + fix + verify), strategic decisions (decompose into requirements + capabilities + timeline + risk), even project planning (decompose into milestones with dependencies). The key insight: if the problem takes more than one person-week or touches more than one domain, decompose it.

• 07

  What if the problem is too small for decomposition?

  If the problem can be solved by one person in one domain in under 4 hours, decomposition adds overhead without value. The engine recognizes this: small, single-domain tasks should be solved directly. The engine is designed for problems that resist direct attack. multi-department transitions, cross-team initiatives, complex incident resolution, strategic decisions. If you can hold the entire problem in your head, you do not need decomposition. If you cannot, you need Tao.

• 08

  How does it differ from the Archimedes First Principles Prover?

  Archimedes validates analytical DECOMPOSITION from AXIOMS. recursive reduction to fundamental truths, mathematical proof, leverage identification. It asks 'can you prove this from first principles?' Tao validates collaborative DECOMPOSITION into TRACTABLE PIECES. sub-problems, cross-domain synthesis, collaboration, visible progress, rigor. It asks 'can you break this into solvable pieces and prove each one?' Archimedes decomposes to AXIOMS. Tao decomposes to SOLVABLE SUB-PROBLEMS. Use Archimedes when you need to reach bedrock truth. Use Tao when you need to organize a complex, multi-faceted effort.

• 

  Systems Thinking Prover AIコネクタ

  AI thinks in straight lines. This engine is a 6-pivot cognitive trap that forces the LLM to map feedback loops

  表示
• 

  Requirement Decomposition Prover AIコネクタ

  AI generates the happy path but omits error handling, edge cases, security, and observability — the '80% Probl

  表示
• 

  Leonardo da Vinci Prover AIコネクタ

  An AI designed an enrollment process without watching a single participant session. Zero observations — 47 ass

  表示
• 

  Nikola Tesla Inventor Prover AIコネクタ

  An AI suggested 'build a pilot and iterate' for a complex system requiring 18 months of structural validation.

  表示

おすすめ

• 

  Domain Lookup AIコネクタ

  Keyless domain availability and DNS intelligence — check if a domain is free, read its registry record, resolv

  表示
• 

  Upsell & Cross-sell Copy Analyzer AIコネクタ

  Analyze up-sell and cross-sell copy for economic clarity, product relevance, and linguistic friction.

  表示
• 

  Enterprise Cross-Sell Success Rate Engine AIコネクタ

  Analyzes cross-sell efficiency, product affinity, and customer alignment.

  表示
• 

  Cross-Chain Arbitrage Engine AIコネクタ

  Identify profitable arbitrage opportunities across chains using messaging protocols.

  表示