edistrict_odisha

MCP Server generated by mcp.ag2.ai

python

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "ag2-mcp-servers-edistrict-odisha-serviceplus-odisha": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "A JSON string containing the configuration",
        "SECURITY": "Environment variables for security parameters (e.g., API keys)",
        "CONFIG_PATH": "Path to a JSON configuration file (e.g., mcp_server/mcp_config.json)"
      }
    }
  }
}

You run an MCP (Model Context Protocol) Server to expose a defined OpenAPI-based interface for a specific data domain. This server lets you connect an MCP client to your Python-based backend, enabling standardized requests, context handling, and strict contract enforcement for the edistrict Odisha service bundle.

How to use

You will start the MCP server in stdio mode from your local environment and then connect an MCP client to it. The server exposes the OpenAPI-described interface for the edistrict Odisha service and supports multiple transport modes. Use the stdio flow for local development and testing.

How to install

Prerequisites: Python 3.9 or newer. Ensure you have Python’s package manager available and the uv tool installed.

Step 1: Clone the project repository and navigate into the project folder.

git clone <repository-url>
cd mcp-server

Install dependencies

Install development dependencies so you can run and test the MCP server locally.

pip install -e ".[dev]"

Alternative: use uv to install editable dependencies

If you prefer to use uv for the editable installation, run the following command.

uv pip install --editable ".[dev]"

Run the MCP server in stdio mode

Start the server using Python and run it in stdio mode. This starts the MCP server so you can connect clients directly from your development environment.

python mcp_server/main.py stdio

Configuration and environment variables

Configure runtime parameters via environment variables or a JSON configuration. The following variables are supported by default:

CONFIG_PATH=/path/to/mcp_config.json
CONFIG='{"server":"edistrict_odisha"}'
SECURITY="{\"apiKey\": \"YOUR_API_KEY\"}"

Notes on starting and testing

For development, you can start with the stdio flow as shown above and then verify behavior by running a local MCP client against the running process. If you need to test programmatically, you can import the server module and exercise the same start sequence within test scripts.

Additional configuration details

You can specify the configuration path or inline JSON for the MCP server, and security-related environment variables to protect your endpoints. Review the main entry point to understand how these are loaded and applied at startup.

Available tools

ruff

Linting and formatting tool used to keep code clean and consistent.

mypy

Static type checker to catch type errors early.

pytest

Testing framework used to run unit and integration tests.

pre-commit

Automation to run checks before commits, ensuring code quality.

hatch

Build and publish workflow for the MCP server package.

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