MCPStudio: The Postman for Model Context Protocol

Name: MCPStudio: The Postman for Model Context Protocol
Author: lonexreb

@lonexreb

代码仓库

关于 MCPStudio: The Postman for Model Context Protocol

Postman for MCP servers

基本信息

分类

其他

运行时

node

传输方式

stdio

发布者

lonexreb

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "MCPstudio": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv",
        "&&",
        "source",
        "venv/bin/activate",
        "#",
        "Windows:",
        "venvScriptsactivate"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCPStudio?

MCPStudio is a web platform for creating, testing, managing, and discovering Model Context Protocol (MCP) servers. Like Postman for APIs, it provides a visual interface that abstracts away protocol complexity, allowing users to connect to MCP servers, discover tools, execute them with parameters, and inspect results—all from the browser.

How to use MCPStudio?

Clone the repository, then install and run the backend (Python 3.10+ with UV) and frontend (Node.js 16+ with npm). Open http://localhost:8080, sign up or log in, and start managing MCP servers. The guided onboarding tour helps you get started.

Key features of MCPStudio

Server creation, configuration, and connection with status tracking
Auto-discovery and execution of MCP tools via dynamic forms
Visual pipeline builder with drag-and-drop DAG canvas
Tool Execution Arena for side-by-side comparison with JSON diff
MCP server discovery from npm and GitHub registries
Supabase authentication with email/password and OAuth2 for Google Drive

Use cases of MCPStudio

Developers prototyping and testing MCP server integrations
Data scientists chaining MCP tools into reusable pipelines
Teams collaborating on MCP tool execution and configuration
Discovering and evaluating MCP-compatible servers from the community

FAQ from MCPStudio

What are the runtime requirements for MCPStudio?

Python 3.10+, Node.js 16+, and optionally MongoDB (falls back to in-memory mock). The UV package manager is recommended for the backend.

How does authentication work?

MCPStudio uses Supabase email/password signup and login with JWT tokens. It also supports OAuth2 flows for service integrations like Google Drive.

Where is execution history and user data stored?

Execution history, pipeline definitions, and prompt templates are stored in IndexedDB (via Dexie) on the client side. The backend uses MongoDB (or in-memory mock) for persistent server-side logs. Zustand state is persisted to localStorage.

What transport does MCPStudio use for real-time updates?

WebSocket streams are used for tool execution and server status changes (endpoint: /ws/servers/{id}/tools/{id}/execution).

Can I export and import server configurations?

Yes, MCPStudio supports exporting server configs as JSON or YAML (with credentials redacted) and importing via file upload, drag-and-drop, or paste.

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