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#Prover MCP Servers

Discover 6 MCP servers tagged with Prover on the Vinkius App Catalog.

Journalistic Reasoning Prover MCP

Journalistic Reasoning Prover MCP

1 tools

A report cited three sources. None of them existed. That is not an error � that is fabrication. Journalistic Reasoning Prover forces independent verification, source tracing, and false balance detection grounded in the SPJ Code of Ethics.

Pedagogical Assessment Prover MCP

Pedagogical Assessment Prover MCP

1 tools

A curriculum listed 12 learning objectives. Every one used 'understand'. An unmeasurable verb. Pedagogical Assessment Prover forces Bloom's-aligned objectives, explicit rubrics, scaffolded instruction, and actionable feedback.

People Management Prover MCP

People Management Prover MCP

1 tools

A hiring plan listed 'culture fit' as the primary criterion. That's not a criterion. That's a bias proxy. People Management Prover forces job-related criteria, adverse impact analysis, and validated assessment methods grounded in I-O psychology.

Engineering Reasoning Prover MCP

Engineering Reasoning Prover MCP

1 tools

An engineering report cited 'industry standards' without naming a single one. Engineering Reasoning Prover forces ISO/ASME/IEC-grounded compliance analysis. Real calculations, real codes, real risk quantification.

Accident Investigation Prover MCP

Accident Investigation Prover MCP

1 tools

An investigation report concluded 'pilot error' and recommended 'improve training.' The same airline had three more accidents in 18 months. Accident Investigation Prover forces ICAO Annex 13 methodology. FDR/CVR evidence chains, multi-causal analysis via Reason's Model, HFACS 4-level taxonomy, organizational factor tracing, and specific, measurable, addressed recommendations that prevent recurrence.

Flight Risk Assessment Prover MCP

Flight Risk Assessment Prover MCP

1 tools

A dispatch office cleared a flight into known CB activity with 'proceed with caution.' The crew never returned. Flight Risk Prover forces ICAO SMS-level threat identification with METAR data, 5×5 risk quantification, Swiss Cheese barrier modeling, SHELL/IMSAFE human factors analysis, and explicit GO/NO-GO commitment. Eliminating the sycophantic go-bias that kills in aviation.