Transport Rajasthan

MCP Server generated by mcp.ag2.ai

python

0

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-transport-department-rajasthan": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "YOUR_VALUE",
        "SECURITY": "YOUR_VALUE",
        "CONFIG_PATH": "YOUR_VALUE"
      }
    }
  }
}

This MCP (Model Context Protocol) Server hosts a specific OpenAPI-based context for the Transport Department in Rajasthan, enabling clients to interact with the provider’s data and actions through a standardized MCP interface. It is designed to run locally or in your environment, and it supports multiple transport modes for loading and consuming data via MCP clients.

How to use

You connect to this MCP server from your MCP client to perform defined transport-ready actions. Start the local server using the runtime that fits your environment, and then point your client at the server’s MCP URL or stream. Use the provided environment configuration to tailor security and the location of your configuration. When the server is running, use your MCP client to request available operations, fetch data, or trigger actions exposed by the server.

How to install

Prerequisites: Python 3.9+ and the Python package manager you use (pip). You also need uv to run the development server if you choose the UV-based workflow.

pip install -e ".[dev]"

Alternative: install via UVX if you prefer the UV-based workflow.

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

Additional sections

Running the MCP server directly from your environment is supported. Use the standard Python runtime to launch the server so it serves in stdio mode for local development. The command shown runs the server from its main entry point and enables you to interact with it through standard input/output.

python mcp_server/main.py stdio

Environment variables and configuration

Configure runtime behavior and security with environment variables. The following variables are used to locate and control the server configuration while running in production or development.

CONFIG_PATH=/path/to/mcp_config.json
CONFIG='{"exampleKey":"exampleValue"}'
SECURITY=YOUR_SECURITY_PARAMS

Tools and utilities

The project uses several tooling utilities to maintain quality and automate workflows. These tools help you lint, format, analyze, test, and build the MCP server.

Lint and format code with ruff
Static analysis with mypy, bandit, and semgrep
Run tests with pytest and generate coverage reports
Build and publish with Hatch

Available tools

lint

Check code quality and formatting using ruff, ensuring codebase consistency and style compliance.

format

Automatically format code with ruff to maintain a uniform style across the project.

static-analysis

Run static analysis tools (mypy, bandit, semgrep) to detect type errors, security issues, and code smells.

test

Execute tests with pytest and produce coverage reports to validate functionality.

build

Build the MCP server artifact using Hatch for packaging and distribution.