The ultimate developer toolkit to Generate, Validate, and Test Model Context Protocol (MCP) servers with ease.
MCP Studio is a comprehensive developer platform designed to streamline the lifecycle of building Model Context Protocol (MCP) servers.
Building MCP servers often involves complex JSON configurations and manual schema validation. MCP Studio removes this friction by providing:
- AI-Powered Generation: Describe your server in natural language.
- Visual Builders: Build tools and resources using structured forms.
- Instant Validation: Ensure your server definitions strictly follow the MCP schema.
- Tool Simulation: Test your server's logic without a single line of deployment code.
Generate production-ready MCP server definitions instantly.
- Natural Language Input: "Create a GitHub integration server that can list repositories and create issues."
- Structured Forms: Manually define tools, resources, and prompts with a clean UI.
- Instant Preview: See your JSON schema update in real-time.
Stop debugging cryptic JSON errors. Our validator provides:
- Schema Compliance: Checks against the official MCP specification.
- Deep Inspection: Validates
inputSchema, missing fields, and transport configurations. - Human-Readable Errors: Clear feedback on exactly what needs fixing.
Test your tools before they touch production.
- Dynamic Form Generation: Automatically creates UI from your tool's
inputSchema. - Logic Verification: Mock responses and verify how your tools handle different inputs.
- Fast Iteration: Refine your tool definitions in seconds.
Jumpstart your development with community templates.
- Reference Implementations: Explore production-ready MCP servers for GitHub, Google Drive, and more.
- One-Click Inspiration: Copy and modify existing schemas to fit your needs.
Easily connect your MCP server to popular AI clients.
- Config Generator: Get the exact JSON snippet for Claude Desktop, IDE extensions, or custom clients.
- Step-by-Step Guides: Integrated tutorials for various integration scenarios.
The Model Context Protocol acts as the bridge between LLMs and your data/tools.
graph LR
A[AI Model / LLM] <--> B[MCP Client]
B <--> C{MCP Server}
C <--> D[Tools / APIs]
C <--> E[Databases]
C <--> F[Local Files]
- Design: Use the Generator to define your tools and resources.
- Validate: Run the definition through the Validator.
- Simulate: Test the interaction flow in the Simulator.
- Deploy: Use the Connection Helper to integrate with your AI client of choice.
- Frontend: React (v19) + Vite
- Styling: Vanilla CSS
- Routing: React Router
- Node.js (v18 or higher)
- npm or yarn
-
Clone the repository
git clone https://github.com/yourusername/mcp-studio.git cd mcp-studio -
Install dependencies
npm install
-
Start the development server
npm run dev
🚀 Open http://localhost:5173 in your browser.
mcp-studio
├── src/
│ ├── components/ # Reusable UI elements (Navbar, Footer, Buttons)
│ ├── pages/ # Feature-specific views
│ │ ├── Generator/ # MCP Server Generator logic
│ │ ├── Validator/ # Schema validation tools
│ │ └── Learn/ # Documentation & Tutorials
│ ├── assets/ # Global styles & Media
│ └── App.jsx # Root routing & Layout
├── public/ # Static assets
└── vite.config.js # Build configuration
- Templates Marketplace: One-click starting points for common integrations (Notion, Jira, Airtable).
- Visual Tool Builder: Drag-and-drop tool definition interface.
- MCP Playground: Interactive environment to test servers against live LLMs.
- Export to TS/JS: Convert your JSON definitions into boilerplate code.
- VS Code Extension: Bring MCP Studio directly into your editor.
We welcome contributions of all kinds!
- Fork the project.
- Create your feature branch (
git checkout -b feature/AmazingFeature). - Commit your changes (
git commit -m 'Add some AmazingFeature'). - Push to the branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
Sooraj
Built with passion for the AI developer ecosystem.