MCP Server (Model Context Protocol)
About
A generic, modular server for implementing the Model Context Protocol (MCP).
Details
- License
- ISC
Explore
- Modular architecture for easy extension
- Dynamic module loading
- Core model management functionality
- Standardized API for model context
- Simple configuration system
- Logging utilities
- Enhanced module structure with proper separation of concerns
- Package.json support for modules with dependency management
- Comprehensive testing infrastructure with Mocha and Chai
- Powerful module search functionality
- Module metadata display in API responses
- Integration with real AI model providers (OpenAI, Stability AI, Anthropic, Hugging Face)
- Support for text generation, image generation, and speech-to-text models
- Streaming inference support for compatible models
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Server (Model Context Protocol)Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Prerequisites
- Node.js 18.x or higher
- pnpm 10.x or higher
This project uses ES Modules (ESM) exclusively. All imports use the import syntax rather than require().
- GET /tools - List available tools
- GET /resources - List available resources
For detailed information about these methods, see MCP Standard Methods.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp server (model context protocol)": {
"mcp-server-profullstack": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-server",
"."
]
}
}
}
}McpServers
{
"mcp-server-profullstack": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-server",
"."
]
}
}<!-- readme-badges:start -->
<!-- readme-badges:end -->
A generic, modular server for implementing the Model Context Protocol (MCP). This server provides a framework for controlling and interacting with various models through a standardized API.
Hosted deployment
A hosted deployment is available on Fronteir AI.
Features
- Modular architecture for easy extension
- Dynamic module loading
- Core model management functionality
- Standardized API for model context
- Simple configuration system
- Logging utilities
- Enhanced module structure with proper separation of concerns
- Package.json support for modules with dependency management
- Comprehensive testing infrastructure with Mocha and Chai
- Powerful module search functionality
- Module metadata display in API responses
- Integration with real AI model providers (OpenAI, Stability AI, Anthropic, Hugging Face)
- Support for text generation, image generation, and speech-to-text models
- Streaming inference support for compatible models
Getting Started
Prerequisites
- Node.js 18.x or higher
- pnpm 10.x or higher
This project uses ES Modules (ESM) exclusively. All imports use the import syntax rather than require().
Installation
```bash
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