Conecte MCPFusion Developer Prover ao ChatGPT e Claude

• 01 / 03Como auditar a arquitetura MVA
• 02 / 03Como validar schemas
• 03 / 03Como verificar verbos de efeito colateral

Dia mais rápido

739ms

Dia mais lento

1059ms

Tendência de 14 dias

Desacelerando+9%

MCPFusion Developer Prover Connector

Tudo pronto. Escolha seu cliente MCP e siga as instruções de configuração.

Link do conectorhttps://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcpCopiar

Claude Desktop

Siga os passos abaixo para conectar em segundos.

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 — MCPFusion Developer Prover capabilities are ready to use.

Configuração · claude_desktop_config.jsonCopiar

{
  "mcpServers": {
    "mcpfusion-developer-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp"
    }
  }
}

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

Instruções passo a passo para cada cliente estão no guia. Como conectar

Configuração guiada para o Claude? Configurar MCPFusion Developer Prover no Claude e outras IAs

Veja todos os clientes de IA com quem este connector funciona ↑

• 01

  MCP Developers

  Engineers who need to ensure their custom capabilities follow strict MVA architectural patterns.

• 02

  AI Architects

  Professionals designing agentic pipelines that require predictable and structured data egress.

• 03

  Agentic Workflow Engineers

  Users building complex toolsets that rely on semantic verbs to manage side effects.

• 01

  What is MVA in MCPFusion?

  MVA stands for Model-View-Agent. It is a conceptual separation of responsibilities where Models define data, Presenters handle egress and UI, and Capabilities expose functionality to the agent.

• 02

  Why can't I just use raw Zod schemas?

  Using raw z.object() bypasses critical MCPFusion features like hidden field stripping, fillable profiles, timestamps, and alias resolution provided by defineModel().

• 03

  How does this MCP help with agent errors?

  It identifies when semantic verbs are misused, such as using a mutation for a read operation, which prevents the agent from understanding when an action is destructive.

• 04

  Does this MCP enforce specific folder structures?

  No. MVA is a conceptual separation of responsibilities. You can organize your files however you like as long as the Model, View, and Agent logic remain separated.

• 05

  What happens if the validation fails?

  The capability provides a verdict identifying the specific violation, such as RAW_SCHEMA_DETECTED or SEMANTIC_VERB_WRONG, along with instructions on how to correct the pattern.

• 06

  Does this generate MCP server code?

  No. The agent writes the code. This capability VALIDATES that the code follows MCPFusion's MVA architecture. defineModel() for entities, Presenters for egress, semantic verbs for operations, and correct file structure. It teaches the framework through rejection messages.

• 07

  Why does the LLM need this if it can read documentation?

  Documentation reading is one-shot. the LLM reads once and forgets. This capability forces structured reflection on EVERY capability being built. Each field is a micro-lesson: modelStrategy forces naming m.casts() fields, presenterStrategy forces explaining .returns(), toolDesign forces choosing the right semantic verb. Repetition through obligation, not suggestion.

• 08

  What if my MCP doesn't return data (reasoning-only)?

  Reasoning MCPs still use MVA. The Model defines the verdict/message shape. The Presenter renders the verdict. The capability forces structured input. Even a capability that computes nothing needs defineModel() for its response and a Presenter for its output. The same architecture applies. the Presenter is the egress contract.

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