Verbinden Sie Spec Prover mit ChatGPT, Claude und Gemini

• 01 / 02Konstanten prüfen
• 02 / 02Logik-Spezifikationen verifizieren

Schnellster Tag

758ms

Langsamster Tag

1125ms

14-Tage-Trend

Verbessernd-7%

Spec Prover Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_NbIciblMWXQuIBLxYENirh67y4h51MySXcQihZn2/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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 — Spec Prover capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "spec-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NbIciblMWXQuIBLxYENirh67y4h51MySXcQihZn2/mcp"
    }
  }
}

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

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Spec Prover in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  AI Product Manager

  Stellt sicher, dass die von der KI erstellten Spezifikationen mathematisch korrekt und vollständig sind.

• 02

  Software-Entwickler

  Verhindert die Implementierung fehlerhafter Logik durch präzise, bereits validierte Vorgaben.

• 03

  QA-Engineer

  Nutzt die validierten Traces als Grundlage für präzise Testfälle statt gegen fehlerhafte Spezifikationen zu testen.

• 01

  How does Spec Prover catch bugs that manual review misses?

  It forces the agent to perform a concrete trace with real numbers. While a human or agent might look at a formula and think it looks correct, the trace reveals errors like negative results or unhandled boundaries.

• 02

  What happens if the agent's math is wrong?

  The MCP will reject the call. If the agent's final output does not match the step-by-step arithmetic trace, the capability identifies the discrepancy and requires a correction.

• 03

  Can I use this with any AI client?

  Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf once connected through Vinkius.

• 04

  What is an orphan constant?

  An orphan constant is a value declared in the specification that is never actually used in any formula. The capability flags these to prevent confusing developers with unnecessary data.

• 05

  Does this capability prevent division by zero errors?

  Yes. It requires the agent to choose an edge case, such as a zero divisor, and verify that the specification explicitly defines how to handle that condition.

• 06

  Does Spec Prover compute or verify the arithmetic itself?

  No. Spec Prover performs zero computation. It forces the AI agent to structure its own reasoning into traceable steps, then validates that the reasoning is logically consistent. If the agent says the output matches the trace but also says the spec is wrong, the capability rejects the contradiction. The agent does all the math. the capability enforces honesty.

• 07

  What happens when the capability rejects my proof?

  The capability returns a detailed consistency error explaining exactly which Decision Pivot contradicts your verdict. For example, if you mark outputMatchesTrace: true but choose SPEC_WRONG, the rejection will explain that if the output matches your trace, the formula cannot be wrong. re-examine your trace arithmetic. Fix the contradiction and call the capability again with isRevision: true.

• 08

  What kind of edge cases should I trace?

  The capability requires edge case inputs that differ from your normal inputs. Focus on boundaries: zero values (0 cycles), negative results (subtraction below zero), maximum values (24 hours, 1440 minutes), wrap-around conditions (midnight crossover), and empty/null inputs. The capability rejects edge cases that are identical to normal inputs. a second normal case is not an edge case.

• 

  Multi-Agent Orchestrator Prover KI-Connector

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• 

  Requirement Decomposition Prover KI-Connector

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

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• 

  Agent Role Conflict Detector KI-Connector

  Detects overlapping responsibilities and role conflicts in multi-agent teams.

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• 

  Critical Thinking Prover KI-Connector

  AI agents accept premises without questioning, analyze from one perspective, cherry-pick evidence, ignore cons

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Vorschläge

• 

  Multi-Agent Coordination Pattern Validator KI-Connector

  A diagnostic engine to validate the structural integrity and logical flow of multi-agent orchestration pattern

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• 

  Multi-Agent Communication Protocol Validator KI-Connector

  Analyze and verify the structural integrity of autonomous agent communication logs.

  Ansehen
• 

  Multi-Agent Communication Protocol Validator KI-Connector

  Analyze and verify the structural integrity of autonomous agent communication logs.

  Ansehen
• 

  Engineering Reasoning Prover KI-Connector

  An engineering report cited 'industry standards' without naming a single one. Engineering Reasoning Prover for

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