MCP-Quantum

MCP-Quantum-Server is an MCP (Model Context Protocol) server designed to bridge modern APIs with AI-driven automation. It exposes modular MCP capabilities tailored for automating workflows around social platforms and code repositories, leveraging AI-assisted client-server communication and a centralized context management system. With this server you can integrate with external services (such as social APIs and GitHub), orchestrate automated tasks, and query or update context across multiple components in a unified MCP space. The included features enable advanced API interoperability, automated workflow management, and scalable context handling to simplify complex automation pipelines.

To use the server, you typically run the Node.js-based server process and connect clients or tooling that understand the MCP protocol. The server is designed to work in concert with an AI-enabled client (e.g., Gemini AI integration) to optimize interactions, while also supporting automation scripts (like daily GitHub project updates or repository management workflows). After starting the server, you can interact with its MCP endpoints to fetch context, push updates, or trigger automated actions across your X and GitHub related automations. The tooling is built to be modular, so you can enable or disable features as needed and adapt the context model to your specific workflow needs.

Prerequisites:

• Node.js (LTS) installed on your machine
• PNPM or npm/yarn available for dependency installation
• Git to clone the repository

Steps:

1. Clone the repository

   • git clone https://github.com/UjjwalSaini07/MCP-Quantum-Server.git

2. Navigate to the project directory

   • cd MCP-Quantum-Server

3. Install dependencies (example with PNPM; you can use npm or yarn if preferred)

   • pnpm install

4. Build or prepare the server if required (consult project scripts; typically no separate build is needed for a Node server but you may run a build step if provided)

   • npm run build (if available) or pnpm build

5. Start the server

   • pnpm start
   • or run the configured Node.js entry if starting manually: node path/to/server.js

6. Verify the server is running

   • Check console output for a listening port or health check endpoint, e.g., http://localhost:5000/health

Notes:

• The repository may use a monorepo structure; ensure you install dependencies in the correct subdirectory if applicable.
• If you need to customize environment variables (ports, API keys), set them in a .env file or via your hosting environment. The README indicates PORT and MCP_ENV as example env vars.

Tips and common considerations:

• Ensure Node.js version compatibility with the project (use LTS releases).
• If you encounter dependency issues, clear the package manager cache and reinstall (e.g., pnpm install --force).
• The MCP server relies on modular MCP architecture; you can enable or disable specific capabilities (X API integration, GitHub automation, AI client components) by adjusting configuration or startup flags as described in the project documentation.
• For deployments, consider containerizing the server with Docker and exposing the required ports for MCP communication.
• Monitor logs for MCP context operations to diagnose issues with context synchronization or API interop.
• When integrating with external services (X API, GitHub), ensure proper authentication credentials and rate limits are respected; store secrets securely in your deployment environment.