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HP Staff Selection Commission MCP Server

MCP Server generated by mcp.ag2.ai

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "ag2-mcp-servers-hp-staff-selection-commission---hpssc---himachal-pradesh-himachal-pradesh": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "JSON string with the server configuration",
        "SECURITY": "Security-related environment variables (e.g., API keys)",
        "CONFIG_PATH": "Path to JSON config (e.g., mcp_server/mcp_config.json)"
      }
    }
  }
}

You run an MCP (Model Context Protocol) Server to expose machine-readable capabilities of the HP Staff Selection Commission system. This server acts as a bridge between clients and the underlying data/actions, enabling you to query, subscribe, and perform authorized operations via MCP clients in a standard, protocol-driven way.

How to use

Start the MCP server in stdio mode to run locally and interact with clients in real time. Use the server’s runtime entry to expose the available MCP endpoints to your applications. You will typically launch the server from your development environment and point clients to the local stdio session.

How to install

Prerequisites: Python 3.9+ and a working Python tooling setup on your machine.

# 1) Clone the project
# Replace with your actual repository URL
git clone <repository-url>
cd mcp_server

# 2) Install dependencies
# If you use a dev container, dependencies are installed automatically through the setup script
pip install -e ".[dev]"

# Alternatively, install via uv (if you prefer):
uv pip install --editable ".[dev]"

Running the server

Run the MCP server in stdio mode directly from your terminal.

python mcp_server/main.py stdio

Configuration and environment

Configure the server using environment variables to control behavior and security.

{
  "CONFIG_PATH": "Path to a JSON configuration file, e.g., mcp_server/mcp_config.json",
  "CONFIG": "JSON string containing the configuration",
  "SECURITY": "Environment variables for security parameters (e.g., API keys)"
}

Available tools

lint

Quality checks using ruff for linting and formatting to ensure clean, consistent code.

static-analysis

Static security and quality checks using mypy, bandit, and semgrep to catch issues early.

tests

Run tests with pytest to verify functionality and generate coverage reports.

pre-commit

Pre-commit hooks to run automatically before each commit for code health.