
MCP Multi-Server System
A dual-server MCP system with PostgreSQL integration that provides financial tools (stock prices, portfolio calculation, financial news) on one server and utility tools (weather, time, data processing, text analysis) on another server.
README
MCP Multi-Server System
A multi-server system for the Model Context Protocol (MCP), featuring a unified frontend and two specialized backend servers for different toolsets.
🏗️ Architecture
The system consists of three main components:
- Frontend API (Port 3000): A FastAPI application that serves the web interface for managing agents and tools, and acts as a gateway to the backend MCP servers.
- MCP Server A (Port 3001): A FastAPI application that provides finance-related tools.
- MCP Server B (Port 3002): A FastAPI application that provides general utility tools.
- PostgreSQL Database: A central database for storing information about servers, tools, and agents.
🚀 Getting Started
1. Prerequisites
- Python 3.8+
- PostgreSQL
2. Installation
- Clone the repository.
- Install the required Python packages:
pip install -r requirements.txt
3. Configuration
-
Create a
.env
file in the root directory of the project. -
Add the following environment variables to the
.env
file, adjusting the values as needed:# Database Configuration DATABASE_URL=postgresql://user:password@localhost/mcp_config # Server Ports PORT_A=3001 PORT_B=3002
4. Running the System
You can run the entire system with a single command:
python app/main.py
This will start the Frontend API on port 3000, MCP Server A on port 3001, and MCP Server B on port 3002.
You can access the web interface by navigating to http://localhost:3000
in your web browser.
Alternatively, you can run each server individually:
# Terminal 1: Start the Frontend API
uvicorn app.frontend_api:app --port 3000 --reload
# Terminal 2: Start MCP Server A
uvicorn app.server_a:app --port 3001 --reload
# Terminal 3: Start MCP Server B
uvicorn app.server_b:app --port 3002 --reload
🔗 API Endpoints
Frontend API (Port 3000)
/
: The main web interface for managing agents and tools./servers
: Get a list of all available MCP servers./agents
: Manage agents (create, list, update, delete)./manage-tools/{server_name}
: A web interface for managing the tools of a specific server.
MCP Servers (Ports 3001 & 3002)
/health
: Check the health of the server./tools
: List all available tools on the server./check-tools
: A simplified endpoint to check the available tools./tools/call
: Execute a tool on the server.
Example: Check the tools on Server A
curl http://localhost:3001/check-tools
Example: Execute the get_stock_price
tool on Server A
curl -X POST http://localhost:3001/tools/call \
-H "Content-Type: application/json" \
-d
{
"name": "get_stock_price",
"arguments": {
"symbol": "AAPL"
}
}
🛠️ Development
Adding a New Tool
- Add the tool's logic to the appropriate server (
app/server_a.py
orapp/server_b.py
). - Register the tool in the database using the web interface or by calling the
/tools
endpoint.
Database
The database schema is defined by the SQLAlchemy models in app/database.py
. The database is initialized with some default data when the system starts up.
📝 License
This project is licensed under the MIT License.
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