ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use MCPFusion Developer Prover with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. LLMs have never been trained on MCPFusion. They use raw z.object(), skip Presenters, mix semantic verbs, and violate MVA layering. This capability teaches the framewo

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 1 capability

The complete MCPFusion Developer Prover capability set.

These are the exact actions your AI can choose when you ask it to work with MCPFusion Developer Prover.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through MCPFusion Developer Prover.

  1. 01

    Validate mcpfusion implementation

    MVA is a CONCEPTUAL separation of responsibilities, NOT a folder naming convention. Before writing or validating MCPFusion code, call this capability to PROVE architectural compliance. Key rules: (1) EVERY entity uses defineModel() with m.casts(). NEVER raw z.object(). defineModel() provides m.hidden(), m.fillable(), m.timestamps(), m.guarded(), .toApi(). z.object() loses all of these, (2) EVERY capability that returns data uses .returns(Presenter). The Presenter validates, strips hidden fields, injects rules, renders UI. createPresenter().schema(Model) or definePresenter({ schema: Model }), (3) SEMANTIC VERBS: f.query() for reads (readOnly, cacheable, safe to retry). f.mutation() for writes (destructive, requires confirmation). f.action() for neutral operations (calculations, validations), (4) Capability INPUT uses .withString()/.withNumber()/.withBoolean()/.withEnum(). NOT z.object(). For many params: .withStrings({...}), .withOptionalStrings({...}). For model-driven input: .fromModel(Model, "create"), (5) .handle() auto-wraps data with success(). NEVER call success() manually, (6) RESPONSIBILITY SEPARATION: Model, View, and Agent logic in separate modules. not mixed in one file. Additional layers (e.g. engine/ for pure business logic) are perfectly valid, (7) .instructions() on every capability for AI-First guidance, (8) f.error() for self-healing errors with .suggest(), .actions(), .retryAfter(). If rejected, fix the MCPFusion pattern violation. Structured reflection capability for MCPFusion framework development. forces MVA (Model-View-Agent) conceptual compliance: defineModel() enforcement, Presenter attachment, semantic verb correctness. LLMs have never been trained on MCPFusion. they default to raw z.object(), skip Presenters, mix semantic verbs, and violate MVA responsibility separation. This capability teaches the framework through structured reflection. Catches MVA Violated (Model, View, and Agent responsibilities mixed in one module. MVA enforces conceptual separation: Models define data shapes, Presenters handle egress, Capabilities expose to LLMs. Mixing defineModel() and .handle() in one file breaks this contract), Raw Schema Detected (using z.object() instead of defineModel() for entity schemas. const UserSchema = z.object({ name: z.string(), email: z.string() }) loses every MCPFusion feature: no m.hidden() for sensitive fields (password hashes, API keys), no m.fillable() profiles for create vs. update contexts, no m.timestamps() for automatic created_at/updated_at, no m.guarded() for mass-assignment protection, no .toApi() for alias resolution. defineModel(User).casts(m => ({ name: m.string(Name), email: m.string(Email) })) provides all of these. z.object() is Zod. defineModel() is MCPFusion), Presenter Missing (returning raw data from .handle() without .returns(Presenter). a capability that returns { users: [...] } without a Presenter sends raw database objects to the client. Hidden fields (password_hash, internal_id) leak. No UI rendering (echarts, mermaid, summary). No agent suggestions (suggestActions for next steps). No collection limiting (agentLimit). createPresenter().schema(UserModel) or definePresenter({ schema: UserModel }). the Presenter IS the egress gate), and Semantic Verb Wrong (using f.action() for a read-only query or f.query() for a destructive write. f.query() marks the capability as readOnly. it can be safely cached, parallelized, and retried. f.mutation() marks the capability as destructive. agents must confirm before execution, responses are never cached. Using f.action() for everything wastes these semantic guarantees. GET /users is f.query(). POST /users is f.mutation(). A calculator is f.action()). NOTE: MVA is a CONCEPTUAL separation of responsibilities, NOT a folder naming convention. Implementations may organize files however they want (including additional layers like engine/ for pure business logic) as long as Model, View, and Agent responsibilities remain separated. Call once per capability or feature being implemented

Observed, not estimated

844ms average. Fast in production.

MCPFusion Developer Prover is checked daily against the live service.

Daily averagePeak 1032ms
Aug 20Today
Fastest day
697ms
Slowest day
1032ms
14-day trend
Improving-18%

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

FAQ

Questions MCPFusion Developer Prover owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.