MCP Server (Model Context Protocol)
About
A generic, modular server for implementing the Model Context Protocol (MCP).
Details
- Author
- profullstack
- GitHub stars
- 44
- Downloads
- 213
- Categories
- Other
Jump to
- Modular architecture for easy extension and dynamic module loading
- Integration with OpenAI, Stability AI, Anthropic, and Hugging Face
- Support for text generation, image generation, and speech-to-text
- Streaming inference for compatible models
- Standard MCP methods for model management and inference
- Comprehensive testing infrastructure with Mocha and Chai
- Module search and metadata display
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
Install Node.js 18+ and pnpm 10+, clone the repository, run pnpm install, then start with pnpm start or pnpm dev (default port 3000). Copy sample.env to .env and add API keys for your chosen providers. Docker is also supported via docker build and docker-compose up.
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",
"."
]
}
}MCP Server (Model Context Protocol)
<!-- 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
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
