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Connect MCPFusion Developer Prover to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop shipping MCPs that break the Model-View-Agent pattern.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through MCPFusion Developer Prover.

  1. 01

    Validate mcpfusion implementation

    This capability audits your code to ensure it follows MVA architectural rules. It checks for defineModel() usage, Presenter attachment, correct semantic verb selection, and proper file separation.

Real work

What teams actually run

01

Architecture Debugging

Run a validation check when your agent produces a capability that works but feels messy or unorganized.

02

Framework Onboarding

Use the structured reflection to teach your AI client how to correctly implement MCPFusion patterns.

03

Code Review Automation

Have your agent call the validator before you commit new capability logic to your repository.

04

Preventing Side-Effect Errors

Verify that destructive operations are marked as mutations to trigger necessary agent confirmations.

Automate a task

Put MCPFusion Developer Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

MCPFusion Developer Prover works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put MCPFusion Developer Prover to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

908ms average. Fast in production.

MCPFusion Developer Prover is checked daily against the live service.

Daily averagePeak 1059ms
Oct 3Today
Fastest day
739ms
Slowest day
1059ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of MCPFusion Developer Prover, so you can see the experience inside your AI.

It does not authenticate your account with MCPFusion Developer Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

MCPFusion Developer Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mcpfusion-developer-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up MCPFusion Developer Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work MCPFusion Developer Prover owners hand off.

This MCP is built for developers building specialized agentic capabilities using the MCPFusion framework.

  • 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.

FAQ

Questions MCPFusion Developer Prover owners ask.

  • 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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