MCPFusion Developer Prover Connector for AI agents.
1 live capability
Ensure your Connector architecture follows the Model-View-Agent pattern for production-ready code.
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Why people use MCPFusion Developer Prover
MCPFusion Developer Prover: MVA Architecture Compliance
This Connector changes the dynamic by forcing the agent to stop guessing. It acts as a structural checkpoint that evaluates your code against the MCPFusion blueprint. You get a clear verdict on whether your layers are separated and your verbs are correct.
What Vinkius changes
You get an architectural gatekeeper that prevents your AI from writing non-compliant framework code.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
The Shortcut Taker
A developer writes a capability and the AI uses z.
- Real-world use case 02
The Verb Mixer
An agent uses f.
- Real-world use case 03
The Data Leak
A capability returns a user object with a password hash.
Complete set · 1capability
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.
01
1 capability in this set.
Part of 1 available through MCPFusion Developer Prover.
- 01 Capability
Validate mcpfusion implementation
Check if your code follows the MVA pattern and provides a detailed verdict on schema, verbs, and layering.
Set up in minutes
One URL. Then ask MCPFusion Developer Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use MCPFusion Developer Prover from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it MCPFusion Developer Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable MCPFusion Developer Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the MCPFusion Developer Prover URL.
- Step 03
Save and start
Save the connection and enable MCPFusion Developer Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"mcpfusion-developer-prover": {
"url": "https://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using MCPFusion Developer Prover
Open Agent mode in chat and ask: "Using MCPFusion Developer Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"mcpfusion-developer-prover": {
"url": "https://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using MCPFusion Developer Prover
Ask Copilot: "Using MCPFusion Developer Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"mcpfusion-developer-prover": {
"url": "https://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using MCPFusion Developer Prover
Open Cascade and ask: "Using MCPFusion Developer Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"mcpfusion-developer-prover": {
"url": "https://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using MCPFusion Developer Prover
Ask Cline: "Using MCPFusion Developer Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add mcpfusion-developer-prover --transport http "https://edge.vinkius.com/vk_preview_kq18iP2KBas7gK6lLEfjXD7wkf1LFvR2zOIJQ4BQ/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using MCPFusion Developer Prover
Ask Claude: "Using MCPFusion Developer Prover, show me...". 1 tools are ready
Where the request belongs
Work MCPFusion Developer Prover can move forward.
Software engineers who are building production-grade Connectors and need to maintain strict architectural standards. It's for the developer who's tired of fixing hallucinated framework violations in their codebase.
AI Engineer
Ensuring agentic pipelines follow a predictable Model-View-Agent pattern for better reliability.
Backend Developer
Maintaining a clean separation between data models, UI presenters, and capability logic.
Framework Architect
Enforcing coding standards across a team of developers building multiple Connectors.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Chain-of-Thought Skeleton Verifier
Validates the structural integrity and parsing patterns of ReAct and Chain-of-Thought agent outputs.
Vinkius AI Catalog
Give your AI agent full access to the Vinkius MCP catalog. Search, browse, and discover MCPs. their capabilities, debugger grades, FAQs, and documentation. all programmatically.
Deep Analyst Prover
AI gives surface analysis. restates the question, misses hidden assumptions, uses single-lens thinking. This capability forces multi-model depth: First Principles decomposition, Second-Order cascades (3 levels), Steelmanning (Ideological Turing Test), Inversion, and Premortem risk mapping.
Systems Thinking Prover
AI thinks in straight lines. This engine is a 6-pivot cognitive trap that forces the LLM to map feedback loops, second-order effects, and bottlenecks before proposing any architectural change.
Prisma Access
Connect Prisma Access to any AI agent via MCP.
Lancerkit
Connect Lancerkit to any AI agent via MCP.
Bring your own AI
Change the model, client or framework. Keep MCPFusion Developer Prover connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about MCPFusion Developer Prover.
The practical details behind the request, access and result.
What is the MCPFusion Developer Prover?
It's a validation capability that ensures your Connector development follows the Model-View-Agent (MVA) architecture. It checks your code for framework compliance.
How does it help with MVA architecture?
It forces your AI client to follow specific layering rules, ensuring that data models, UI presenters, and capability logic stay separated and consistent.
Can it catch security leaks like hidden fields?
Yes. By enforcing the use of defineModel() instead of raw Zod schemas, it ensures that sensitive fields like password hashes aren't accidentally exposed.
Does it work with any AI client?
Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf to help guide your development process.
How does it handle semantic verbs?
It checks that you use the correct verbs for the right actions, like f.query for reads and f.mutation for writes, which helps your agent understand side effects.
Why should I use this instead of a standard linter?
While a linter checks syntax, this capability performs structured reflection on your architectural choices, specifically tailored for the MCPFusion framework.
Does this generate Connector 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.
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.
What if my Connector doesn't return data (reasoning-only)?
Reasoning Connectors 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.
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.
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.
One connection away
Give your agent a direct line to MCPFusion Developer Prover.
Connect MCPFusion Developer Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available