Motor Vehicle Department Maharashtra
M

Motor Vehicle Department Maharashtra

This is an MCP server project based on the OpenAPI specification, used for handling the model context protocol of the Indian Ministry of Transport API. It supports multiple transmission modes and includes a complete development toolchain and testing process.
2 points
6.6K

What is an MCP Server?

An MCP server is an API service based on the Model Context Protocol (MCP). It can automatically build and run API interfaces according to the provided OpenAPI specification. Through the MCP protocol, it can interact with various models or services to achieve efficient API calls.

How to Use an MCP Server?

The MCP server can be started via the command line and supports multiple transmission modes (such as stdio, sse, streamable-http). Users can configure server parameters, such as API keys and configuration file paths, to meet different usage requirements.

Use Cases

The MCP server is suitable for scenarios that require rapid deployment and management of API services, such as development testing, microservice architecture integration, and API proxy services.

Main Features

Automatic OpenAPI Generation
Automatically build API services based on the given OpenAPI specification, reducing the workload of manual coding.
Support for Multiple Transmission Modes
Supports multiple transmission modes such as stdio, sse, and streamable-http to adapt to different application scenarios.
Security Configuration
Supports setting API keys and other security parameters through environment variables to ensure the security of API calls.
Scalability
Supports project building and publishing through the Hatch tool, facilitating subsequent maintenance and upgrades.
Advantages
Automatically generate API services to improve development efficiency
Support multiple transmission modes to adapt to different scenarios
Provide security configuration options to ensure the security of API calls
Limitations
Depends on the integrity of the OpenAPI specification. Incomplete specifications may cause problems.
Requires a certain technical background to configure and run the server.
May require additional customized development for complex scenarios.

How to Use

Clone the Repository
Clone the MCP server project from GitHub or other source code repositories.
Install Dependencies
Use pip or uv to install the project's required dependencies.
Configure the Server
Set server parameters, such as API keys and configuration paths, through environment variables or configuration files.
Start the Server
Run the main.py script and specify the transmission mode (such as stdio, sse, streamable-http).

Usage Examples

API Testing
Rapidly deploy an API service via the MCP server to test whether the backend logic works properly.
Microservice Integration
Use the MCP server as part of a microservice to communicate with other services.

Frequently Asked Questions

What dependencies does the MCP server require?
How to configure the MCP server?
What transmission modes does the MCP server support?
How to run the tests for the MCP server?

Related Resources

GitHub Repository
The GitHub repository for the MCP server project, containing source code and documentation.
AG2 MCP Builder
The MCP building tool provided by AG2 for generating MCP servers.
OpenAPI Specification
The OpenAPI specification file used by the MCP server.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.7K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.2K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.4K
4 points
P
Paperbanana
Python
9.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.1K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.9K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
37.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.8K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.1K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
77.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
36.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
23.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
104.1K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase