Vibe Model Context Protocol Server (VMCPS)

Vibe Model Context Protocol Server (VMCPS)

A Python-based server for managing and analyzing code context for AI-assisted development. Provides real-time code analysis, project structure analysis, dependency tracking, and secure API endpoints.

Category
Visit Server

README

Vibe Model Context Protocol Server (VMCPS)

A Python-based server for managing and analyzing code context for AI-assisted development. Vibe Model Context Protocol Server Screenshot

Features

  • Real-time code analysis and context generation
  • Automatic file change detection
  • Secure authentication and authorization
  • RESTful API for context management
  • Project structure analysis
  • Dependency tracking
  • Cross-platform support (Windows, Linux, macOS)

API Endpoints

  • POST /token - Get authentication token
  • POST /analyze - Analyze a project
  • GET /context - Get context for a file or project
  • GET /dependencies - Get project dependencies
  • GET /structure - Get project structure

Security

  • JWT-based authentication
  • Password hashing with bcrypt
  • CORS protection
  • Environment-based configuration

Installation

  1. Clone the repository:
git clone https://github.com/non-npc/Vibe-Model-Context-Protocol-Server.git
cd mcps
  1. Create a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Configure environment variables:
  • Copy .env.example to .env
  • Update the values in .env as needed

Example API Usage (curl commands)

Start the server:

python -m mcps.main
  1. Get token:
curl -X POST "http://localhost:8000/token" -H "Content-Type: application/x-www-form-urlencoded" -d "username=admin&password=admin"
  1. Analyze project (replace <token> with actual token):
curl -X POST "http://localhost:8000/analyze" -H "Authorization: Bearer <token>" -H "Content-Type: application/json" -d '{"project_path": "/path/to/your/project"}'
  1. Get context:
curl -X GET "http://localhost:8000/context" -H "Authorization: Bearer <token>"

Access the API:

  • The server will be running at http://localhost:8000
  • API documentation is available at http://localhost:8000/docs

Development

  1. Install development dependencies:
pip install -r requirements-dev.txt
  1. Run tests:
pytest

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

MIT License

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured