MCP Server Generator

Build Production MCP Servers
From Any Repository

Connect GitHub. Pick your AI. Deploy a fully functional MCP server in minutes.

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No credit card required · Free forever plan

mcpfy · generate pipeline
Repository GitHub · GitLab · Bitbucket
Analysis Static scan
Generator MCP server build
Testing Protocol validation
Deployment Local · Docker · Cloud
AI Clients Claude · Cursor · OpenAI
tools resources prompts schemas server.js config.json

Works with your favorite AI tools

Claude
Cursor
VS Code
OpenAI
Windsurf

Platform

Everything to ship an MCP server

From repo scan to production deploy — without writing the boilerplate yourself.

Repository Scanner

Automatically analyzes APIs, services, tools, and documentation in any codebase.

Automatic MCP Generation

Generates production-ready MCP endpoints with proper typing and validation.

Multiple AI Platforms

Works with Claude, Cursor, VS Code, OpenAI, and Windsurf out of the box.

Flexible Deployment

Deploy locally for development, via Docker, or to any major cloud provider.

Security Built-in

Auth, permissions, and secrets management baked into every generated server.

Protocol Testing

Validates MCP compatibility before deployment so you ship with confidence.

How it works

From repo to AI client in 5 steps

  1. Connect Repository

    Connect your GitHub, GitLab, or Bitbucket repository

  2. Choose AI Platform

    Select Claude, Cursor, VS Code, OpenAI, or Windsurf

  3. Generate MCP Server

    MCPfy scans and generates your production-ready MCP server

    generated-server.ts 
    // Generated MCP tool definition
export const searchProducts = tool({
  name: "search_products",
  description: "Search the product catalog",
  parameters: z.object({
    query: z.string(),
    limit: z.number().optional(),
  }),
  execute: async ({ query, limit }) => {
    return db.products.search(query, limit);
  },
});

  4. Deploy

    Deploy locally, with Docker, or to the cloud in one click

    terminal 
    # Deploy with Docker
mcpfy deploy --target docker --port 3000

# Or to Railway
mcpfy deploy --target railway

# Config auto-generated:
# claude_desktop_config.json

  5. Start Using

    Install the config snippet into your AI client and start building

Integrations

Deploy anywhere, connect to anything

Works with every major repository host and cloud platform.

Repository providers

GitHub
GitLab
Bitbucket

Deployment targets

Docker
Railway
Render
Fly.io
Vercel
AWS
Azure
GCP

Pricing

Start free. Scale when you do.

No credit card required to get started.

Free
$0 /mo

Start building with MCP today.

  • 1 MCP server
  • 1 repository
  • Local deploy only
  • All AI clients
  • 1 member
  • Community support
Start Free
Starter
$19 /mo

For solo builders shipping fast.

  • 5 MCP servers
  • 10 repositories
  • Docker + 1 cloud target
  • All AI clients
  • 3 members
  • Email support
Get Started
Most Popular
Pro
$49 /mo

For growing teams building at scale.

  • Unlimited MCP servers
  • Unlimited repositories
  • All deployment targets
  • All AI clients
  • 10 members
  • Priority support
Get Started
Enterprise
Custom

For teams with advanced requirements.

  • Unlimited everything
  • Dedicated infrastructure
  • Custom AI clients
  • Custom member count
  • SLA guarantee
  • Dedicated CSM
Contact Sales
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FAQ

Frequently asked questions

What is MCP?
The Model Context Protocol is an open standard for connecting AI assistants to external tools, data, and prompts. MCPfy generates MCP servers so your code works with MCP-compatible AIs.
Which AI platforms are supported?
Claude, Cursor, VS Code, OpenAI, and Windsurf, with more coming.
Can I self-host?
Yes — deploy locally, via Docker, or to your own cloud (Railway, Render, Fly.io, Vercel, AWS, Azure, GCP).
Can I edit generated MCP code?
Yes — download and customize the generated server; it is production-ready, not a black box.

Turn any repository into an MCP server

Start for free. No credit card required.