home / mcp / motor vehicle department maharashtra mcp server
MCP Server generated by mcp.ag2.ai
Configuration
View docs{
"mcpServers": {
"ag2-mcp-servers-motor-vehicle-department-maharashtra": {
"command": "python",
"args": [
"mcp_server/main.py",
"stdio"
],
"env": {
"CONFIG": "{JSON config string}",
"SECURITY": "API_KEY=YOUR_API_KEY",
"CONFIG_PATH": "mcp_server/mcp_config.json"
}
}
}
}You can run an MCP server that exposes the Maharashtra Motor Vehicle Department data and actions locally. This server uses the Model Context Protocol to connect with clients and orchestrate data access through a configurable, script-driven process.
To interact with the MCP server, start the local stdio instance and connect your MCP client to it. You will run in-process commands that initialize the server, load its configuration, and then respond to client requests. Your client can perform data queries, submit updates, or trigger actions defined by the MCP interface. Use the server’s environment variables to tailor security and configuration, and prefer a local development setup before moving to production.
Prerequisites ensure you can run the server and manage dependencies.
Install Python 3.9 or newer, then install the required tooling.
Concrete steps you should follow:
Configuration is loaded via environment variables. You can point the server to a JSON configuration file or pass a JSON string directly. Security settings are provided through environment variables to protect access to the MCP server.
If you need to run tests, linting, or static analysis, you can use the development utilities and scripts that accompany the project. These include linting, type checks, and test suites to verify code quality and correctness.
When you are ready to run the server, use the standard stdio command described in the next section.
The server accepts configuration through environment variables to enable secure operation and easy deployment. Common variables include paths to configuration files and security keys.
Keep sensitive information out of source control and use environment management practices (for example, a dedicated .env file or a secure vault) to supply required values at runtime.