What languages are currently supported?
Only TypeScript is supported. JavaScript and Python support are planned for future releases.
@Maicon-Bartoski-Saas
基本信息
Servidor MCP em teste
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-maicon-bartoski-saas": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-create",
"."
]
}
}
}Create MCP server from template
Execute tool on server
Get list of server tools
Delete server
Get list of running servers
A dynamic MCP server management service that creates, runs, and manages Model Context Protocol (MCP) servers dynamically. It functions as an MCP server itself and launches other MCP servers as child processes, enabling a flexible MCP ecosystem.
Docker is the recommended way. Build the image with docker build -t mcp-create . and run with docker run -it --rm mcp-create. For manual installation, clone the repo, run npm install, npm run build, and npm start. Integrate with Claude Desktop by adding a mcpServers entry in claude_desktop_config.json using Docker command.
Only TypeScript is supported. JavaScript and Python support are planned for future releases.
Docker is the recommended method. Build the image with `docker build -t mcp-create .` and run with `docker run -it --rm mcp-create`. Manual installation via npm (Node.js 18+) is also available.
The service executes arbitrary code, so sandboxing is recommended. Set limits on memory, CPU, and file count. Monitor for zombie or runaway processes and forcibly terminate them. Validate file paths to prevent directory traversal attacks.
Five tools: `create-server-from-template` (create from template), `execute-tool` (execute a tool on a server), `get-server-tools` (list a server's tools), `delete-server` (remove a server), and `list-servers` (list running servers).
Node.js 18 or higher, TypeScript, the `@modelcontextprotocol/sdk`, Node.js built-in modules (`child_process`, `fs/promises`), and `uuid` for unique ID generation.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
🚀 The fast, Pythonic way to build MCP servers and clients.

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