AI Service Platform
About
A cloud-ready service platform for AI-powered tool execution with Model Context Protocol (MCP) integration. It provides REST API endpoints, stateless design with persistent tool configuration, and supports horizontal scaling.
Details
- Author
- Daniel1989
- Downloads
- 224
- Categories
- Other
Jump to
- Cloud native architecture with REST API endpoints.
- Stateless design with persistent tool configuration.
- Horizontal scaling support.
- Unified tool gateway with automatic MCP tool discovery in servers/ directory.
- Execute natural language queries via POST /query endpoint.
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
AI Service PlatformCommand (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 Python 3.10+, clone the repository, set up a virtual environment, install dependencies, and start the development server with FLASK_DEBUG=1 python flask.py. Use GET /tools to list available MCP tools and POST /query with a JSON body containing a "query" field to execute natural language queries.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ai service platform": {
"mcp-server-cloud": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}McpServers
{
"mcp-server-cloud": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}AI Service Platform
A cloud-ready service platform for AI-powered tool execution with Model Context Protocol (MCP) integration.
Key Features
- Cloud Native Architecture
- REST API endpoints for all operations
- Stateless design with persistent tool configuration
- Horizontal scaling support
- Unified Tool Gateway
- Automatic discovery of MCP tools in servers/ directory
Cloud Deployment
Prerequisites
- Python 3.10+API Usage
Endpoints
List Available Tools
GET /tools
Execute Natural Language Query
POST /query
{
"query": "5+5",
}
Development Setup
1. Clone the repository:
git clone https://github.com/Daniel1989/mcp-server-cloud.git
cd mcp-server-cloud
2. Set up virtual environment:
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
3. Start development server:
FLASK_DEBUG=1 python flask.py
Resources
1. python-sdk. https://github.com/modelcontextprotocol/python-sdk 2. cline's prompt -- how to ask ai to select mcp server. https://github.com/cline/cline/blob/main/src/core/prompts/system.ts 3. remote mcp server https://github.com/sidharthrajaram/mcp-sse 4. https://actions.zapier.com/settings/mcp/Sign in to leave a review
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